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Watermarks reflect the very stuff of the origin, date, distribution, composition, history, and culture of paper-based items. Digital imaging of watermarks releases the research potential as widely as the internet itself. One example is the digital “fingerprinting” of paper in order to enhance the security of items, such as valuable and vulnerable maps. Revealing Watermarks offers detailed instructions of this process, through the author's own PaperPrint method, and by means of the case study of a sixteenth-century watermark—a crown from the arms of Danzig—it illustrates how cultural influences spread and have endured across the centuries, in this case from Sweden to Russia.

This book constitutes the refereed proceedings from the Second International Workshop on Foundation Models for General Medical AI, MedAGI 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 17 papers included in this book were carefully reviewed and selected from 26 submissions. These papers provide insights into the current landscape of medical AI and foundation models, that can pave the way for the evolution of task-specific medical AI systems into more generalized frameworks capable of tackling a diverse range of tasks, datasets, and domains.

This book constitutes the proceedings of the First International Workshop on Topology- and Graph-Informed Imaging Informatics, TGI3 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 13 full papers presented here were carefully reviewed and selected. These papers focus on the application of Topological Data Analysis (TDA) techniques, along with other computational techniques, for summarizing, analyzing, quantifying, and visualizing complex medical data for a more effective and efficient analysis.

Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner's approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.

From Visual Surveillance to Internet of Things: Technology and Applications is an invaluable resource for students, academicians and researchers to explore the utilization of Internet of Things with visual surveillance and its underlying technologies in different application areas. Using a series of present and future applications – business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health department and many more – this book will support readers to obtain a deeper knowledge in implementing IoT with visual surveillance.The book offers comprehensive coverage of the most essential topics, including: The rise of machines and communications to IoT (3G, 5G) Tools and technologies of IoT with visual surveillance IoT with visual surveillance for real-time applications IoT architectures Challenging issues and novel solutions for realistic applications Mining and tracking of motion-based object data Image processing and analysis into the unified framework to understand both IOT and computer vision applications This book will be an ideal resource for IT professionals, researchers, under- or post-graduate students, practitioners, and technology developers who are interested in gaining a deeper knowledge in implementing IoT with visual surveillance, critical applications domains, technologies, and solutions to handle relevant challenges.Dr. Lavanya Sharma is an Assistant Professor in the Amity Institute of Information Technology at Amity University UP, Noida, India. She is a recipient of several prestigious awards during her academic career. She is an active nationally-recognized researcher who has published numerous papers in her field. She has contributed as an Organizing Committee member and session chair at Springer and IEEE conferences.Prof. Pradeep K. Garg worked as a Vice Chancellor, Uttarakhand Technical University, Dehradun. Presently he is working in the department of Civil Engineering, IIT Roorkee as a professor. Prof. Garg has published more than 300 technical papers in national and international conferences and journals. He has completed 26 research projects funded by various government agencies, guided 27 PhD candidates, and provided technical services to 84 consultancy projects on various aspects of Civil Engineering.

Color Management serves as a comprehensive guide to the implementation of the ICC (International Color Consortium) profile specification, widely used for maintaining color fidelity across multi-media imaging devices and software. The book draws together many of the White Papers produced by the ICC to promote the use of color management and disseminate good practice; the ICC specification has become widely accepted within the color industry, and these papers have been updated, expanded and edited for this collection. Other chapters comprise material that will go on to form future ICC White Papers, as well as some original content. The ICC review process ensures that the material and recommendations included are collaborative, reflecting the input of the wide community of color and imaging scientists and developers who make up its membership. Readers can be assured of the best advice for achieving optimum results. Provides an overview of color management in applications and the role of ICC profiles in a color reproduction system. Presents user guidelines on color measurement procedures and discusses measurement issues for media such as optically-brightened papers and inkjet prints. Offers comprehensive guidance on the latest version of the specification and the application of the perceptual rendering intent with its reference gamut. Examines the construction and benefits of different types of ICC profiles, and sets out compliance test considerations, implementation notes and evaluation of profile quality. Includes a glossary of terms. This book is written for color and imaging scientists developing, implementing and using color management systems within a range of imaging devices and software. Senior undergraduate and postgraduate students will also find the book of use.

This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the life sciences. Topics covered include:Signal and image analysis (EEG, ECG, MRI)Machine learningData mining and classificationBig data resourcesApplications of particular interest at the 2022 symposium included digital pathology, computational biology, and quantum computing. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers in signal processing, medicine, and biology.

High Efficiency Video Coding and Other Emerging Standards provides an overview of high efficiency video coding (HEVC) and all its extensions and profiles. There are nearly 300 projects and problems included, and about 400 references related to HEVC alone. Next generation video coding (NGVC) beyond HEVC is also described. Other video coding standards such as AVS2, DAALA, THOR, VP9 (Google), DIRAC, VC1, and AV1 are addressed, and image coding standards such as JPEG, JPEG-LS, JPEG2000, JPEG XR, JPEG XS, JPEG XT and JPEG-Pleno are also listed.Understanding of these standards and their implementation is facilitated by overview papers, standards documents, reference software, software manuals, test sequences, source codes, tutorials, keynote speakers, panel discussions, reflector and ftp/web sites – all in the public domain. Access to these categories is also provided.

The Turin Shroud is the most important and studied relic in the world. Many papers on it have recently appeared in important scientific journals. Scientific studies on the relic until today fail to provide conclusive answers about the identity of the enveloped man and the dynamics regarding the image formation impressed therein. This book not only

This book presents the proceedings of the “CoMa 2013: Safeguarding Image Collections” international conference held in Brussels, on 31 October 2013, and offers the reader not only a wide variety of subjects relating to the preservation of image collections, but also an overview of the different professions and practices involved in the preservation of photographic heritage.The proceedings contain some practical examples illustrating how CEN regulations and generally accepted standards can be translated into daily management. Moreover, they transcend a purely scientific debate by also questioning the value and meaning of image collections, and by offering a base for anyone dealing with photographs to think about their long-term preservation.Divided into four sections, the proceedings provide the reader with an overview of:1) Theoretical questions relating to the meaning, value and impact of photographic collections;2) Some examples of collection management practices, storage and exhibition of photographs;3) Results of scientific research concerning the stability of photographic supports and their conservation treatments;4) Digitization practices of image collections and new tools to assign content and value to historical photographs.In addition to traditional conference papers, the book also includes essays on the future of photographic collections, written by established restorers and art historians.

Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing techniques to different tasks in video surveillance. Wor

The classic authority on colour measurement now fully revised and updated with the latest CIE recommendations The measurement of colour is of major importance in many commercial applications, such as the textile, paint, and foodstuff industries; as well as having a significant role in the lighting, paper, printing, cosmetic, plastics, glass, chemical, photographic, television, transport, and communication industries. Building upon the success of earlier editions, the 4th edition of Measuring Colour has been updated throughout with new chapters on colour rendering by light sources; colorimetry with digital cameras; factors affecting the appearance of coloured objects, and details of new CIE colour appearance models. Key features: Presents colour measurement, not simply as a matter of instrumentation and engineering, but also involving the physiology and psychology of the human observer. Covers the principles of colour measurement rather than a guide to instruments. Provides the reader with the basic facts needed to measure colour. Describes and explains the interactions between how colour is affected by the type of lighting, by the nature of the objects illuminated, and by the properties of the colour vision of observers. Includes many worked examples, and a series of Appendices provides the numerical data needed in many colorimetric calculations. The addition of 4th edition co-author, Dr. Pointer, has facilitated the inclusion of extensive practical advice on measurement procedures and the latest CIE recommendations.

This proceedings volume details both current and future research and development initiatives in nano-biomedical engineering, arguably the most important technology of the world in the 21st century. It deals with the following four groups of nano-biomedical engineering: nano-biomechanics, nano-bioimaging, nano-biodevices, and nano-biointervention.Consisting of a compilation of studies conducted by group members of the Tohoku University Global Center of Excellence Program, with specially coordinated funding from the Japanese Government, the papers emphasize the integration of research and education collaboration between engineering and medicine, and showcase Japan's top-level research in the field of nano-biomedical engineering.

The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual.The other side of the biometrics coin is biometric synthesis — rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions.This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies — human identification by analysis of biometric data — is extended to include the new discipline of biometric synthesis.

Professionals in the video and multimedia industries need a book that explains industry standards for video coding and how to convert the compressed information between standards. Digital Video Transcoding for Transmission and Storage answers this demand while also supplying the theories and principles of video compression and transcoding technologies. Emphasizing digital video transcoding techniques, this book summarizes its content via examples of practical methods for transcoder implementation. It relates almost all of its featured transcoding technologies to practical applications.This volume takes a structured approach, starting with basic video transcoding concepts and progressing toward the most sophisticated systems. It summarizes material from research papers, lectures, and presentations. Organized into four parts, the text first provides the background of video coding theory, principles of video transmission, and video coding standards. The second part includes three chapters that explain the theory of video transcoding and practical problems. The third part explores buffer management, packet scheduling, and encryption in the transcoding. The book concludes by describing the application of transcoding, universal multimedia access with the emerging MPEG-21 standard, and the end-to-end test bed.

Image Acquisition and Processing With LabVIEWä combines the general theory of image acquisition and processing, the underpinnings of LabVIEW and the NI Vision toolkit, examples of their applications, and real-world case studies in a clear, systematic, and richly illustrated presentation. Designed for LabVIEW programmers, it fills a significant gap in the technical literature by providing a general training manual for those new to National Instruments (NI) Vision application development and a reference for more experienced vision programmers.The downloadable resources contain libraries of the example images and code referenced in the text, additional technical white papers, a demonstration version of LabVIEW 6.0, and an NI IMAQ demonstration that guides you through its features. System Requirements: Using the code provided on the downloadable resources requires LabVIEW 6.1 or higher and LabVIEW Vision Toolkit 6.1 or higher. Some of the examples also require IMAQ Vision Builder 6.1 or higher, the IMAQ OCR toolkit, and IMAQ 1394 drivers.

Point clouds from LiDAR and photogrammetry are vital and vast sources of geospatial information besides remote sensing imagery. This book provides the latest theory and methodology for point cloud processing with AI to better serve earth observation, 3D vision, autonomous driving, smart city, and geospatial information applications. It covers various aspects of 3D geospatial information, including data capturing, fusing, geocomputing, modeling, and vast downstream applications. With the inclusion of numerous illustrations, diagrams, and practical applications, readers will better understand the point cloud, and its technical challenges, and learn how to utilize point cloud in different fields.Features Provides in-depth point cloud processing pipeline, cutting-edge theory, and technology with AI. Includes many specific applications of point cloud in the geospatial field. Offers a comprehensive step-by-step guide from theory to application in point cloud processing. Includes ample supplementary materials including datasets, tools, and other online resources. Helps readers across many disciplines, from geospatial to engineering, to understand the vast application of point clouds and how to further generate new ideas and innovative thoughts. This book is an excellent resource for researchers, academics, students, and professionals in a variety of fields including Geomatics, Remote Sensing, Cartography and Geographic Information Systems, Data Science, Geography, Earth Science, and more.

This practical guide to transcranial magnetic stimulation (TMS) offers step-by-step instruction for the most commonly used TMS protocols in humans. TMS equipment is increasingly available in University and Hospital settings and even small clinics. TMS protocols are often taken from disparate publications, and there has not been a single comprehensive and practical reference for the most common procedures. The current book contains structured steps for the various TMS protocols in addition to relevant fundamental information, including a practical summary of principles of TMS and a glossary of terms. This book is designed to be a quick reference on the office or clinic desk, or in the laboratory, and would be as useful for guiding research and clinical laboratory activities as it would for deciphering TMS study methodologies in the literature.

Leveraging the latest developments in MATLAB and its image processing toolbox, this'cookbook'is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover.Key Features: A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB. Each recipe is presented through clear, step-by-step instructions and rich visual examples. Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference. Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges. The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.

Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing.Features Includes all new content and does not replace the previous edition Covers machine learning approaches in both signal and image processing for remote sensing Studies deep learning methods for remote sensing information extraction that is found in other books Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered Discusses improved pattern classification approaches and compressed sensing approaches Provides ample examples of each aspect of both signal and image processing This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.

This book accumulates the most recent advancements in the field of bioengineering regarding hybrid science named nanobiotechnology and enriches the readers with vast and comprehensive knowledge about different biomedical applications of nanomaterials. It includes drug and gene delivery, tissue engineering, antimicrobial properties, hyperthermia, cancer therapy, bioimaging, biosensing, photoablation therapy, etc., utilizing the potential of different nanomaterials that are helpful for the well-being of diseased individuals. Furthermore, the concerns about multidrug-resistant microorganisms are increasing daily in the healthcare system. Since conventional therapies fail to combat various infectious diseases, novel nanotechnology techniques provide an alternative approach to developing innovative biomaterials. The novel features of nanomaterials need to be exploited for use in the biomedical engineering domain. They should be fabricated so that the novel multifunctional nanomaterials notonly improve drug efficacy but also reduce their side effects. Moreover, a detailed understanding of the nanotoxicological effects of promising biomedical nanomaterials should necessarily be explored using the cell culture approach. Corona of nanomaterials should be investigated in detail to determine its fate in the biological system regarding safety concerns. This is the most important feature that is novel and explored in this book and would be very helpful for customers like clinicians, scientists, engineers, and technicians who will gain extensive knowledge from this book and work together to get the desired results in the healthcare sector.

The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AIKey FeaturesCompare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your projectApply RAG with LLMs using customized texts and embeddingsMitigate LLM risks, such as hallucinations, using moderation models and knowledge basesPurchase of the print or Kindle book includes a free eBook in PDF formatBook DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You'll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You'll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learnBreakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-EFine-tune BERT, GPT, and PaLM 2 modelsLearn about different tokenizers and the best practices for preprocessing language dataPretrain a RoBERTa model from scratchImplement retrieval augmented generation and rules bases to mitigate hallucinationsVisualize transformer model activity for deeper insights using BertViz, LIME, and SHAPGo in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4VWho this book is forThis book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.

PIXELS & PAINTINGS “The discussion is firmly grounded in established art historical practices, such as close visual analysis and an understanding of artists'working methods, and real-world examples demonstrate how computer-assisted techniques can complement traditional approaches.” —Dr. Emilie Gordenker, Director of the Van Gogh Museum The pioneering presentation of computer-based image analysis of fine art, forging a dialog between art scholars and the computer vision community In recent years, sophisticated computer vision, graphics, and artificial intelligence algorithms have proven to be increasingly powerful tools in the study of fine art. These methods—some adapted from forensic digital photography and others developed specifically for art—empower a growing number of computer-savvy art scholars, conservators, and historians to answer longstanding questions as well as provide new approaches to the interpretation of art. Pixels & Paintings provides the first and authoritative overview of the broad range of these methods, which extend from image processing of palette, marks, brush strokes, and shapes up through analysis of objects, poses, style, composition, to the computation of simple interpretations of artworks. This book stresses that computer methods for art analysis must always incorporate the cultural contexts appropriate to the art studies at hand—a blend of humanistic and scientific expertise. Describes powerful computer image analysis methods and their application to problems in the history and interpretation of fine art Discusses some of the art historical lessons and revelations provided by the use of these methods Clarifies the assumptions and applicability of methods and the role of cultural contexts in their use Shows how computation can be used to analyze tens of thousands of artworks to reveal trends and anomalies that could not be found by traditional non-computer methods Pixels & Paintings is essential reading for computer image analysts and graphics specialists, conservators, historians, students, psychologists and the general public interested in the study and appreciation of art.

This book covers the description of both conventional methods and advanced methods. In conventional methods, visual tracking techniques such as stochastic, deterministic, generative, and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods, various categories of deep learning-based trackers and correlation filter-based trackers are analyzed. The book also: Discusses potential performance metrics used for comparing the efficiency and effectiveness of various visual tracking methods Elaborates on the salient features of deep learning trackers along with traditional trackers, wherein the handcrafted features are fused to reduce computational complexity Illustrates various categories of correlation filter-based trackers suitable for superior and efficient performance under tedious tracking scenarios Explores the future research directions for visual tracking by analyzing the real-time applications The book comprehensively discusses various deep learning-based tracking architectures along with conventional tracking methods. It covers in-depth analysis of various feature extraction techniques, evaluation metrics and benchmark available for performance evaluation of tracking frameworks. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

This book discusses biomedical spectroscopy and the applications of spectroscopic techniques in advanced medical technology. Applicable to scientists and medical professionals, the aim of this work is to enable them to work together in this field, so that healthcare facilities can be made routinely available in a cost-effective manner—especially for developing countries which may not be able to afford universal healthcare with present day expensive medical technologies.The subject matter of this book also covers – Instrumentation, Experimental Techniques and Computational Methods Spectroscopy of Animal Models Microspectroscopy for Biomedical Applications Clinical Applications of Optical Spectroscopy Spectroscopy of Human Models Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan and Bhutan)

Volume III of the Six Volume Remote Sensing Handbook, Second Edition, is focused on agriculture; food security; vegetation; phenology; rangelands; soils; and global biomass modeling, mapping, and monitoring using multi-sensor remote sensing. It discusses the application of remote sensing in agriculture systems analysis, phenology, cropland mapping and modeling, terrestrial vegetation studies, physically based models, food and water security, precision farming, crop residues, global view of rangelands, and soils. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science in agriculture, vegetation, and soil studies. Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years. Provides comprehensive assessment of modeling, mapping, and monitoring agricultural crops, vegetation, and soils from wide array of sensors, methods, and techniques. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.

This book covers speckle image formation using a variety of modulated apertures. The central theme revolves around theoretical analyses, specifically the calculation of impulse responses or Point Spread Functions (PSFs) corresponding to these apertures. These calculations provide crucial insights into the resolution inherent in the resulting speckle images. The book begins with an examination of the recognition of the direction of new apertures from elongated speckle images, setting the stage for subsequent discussions. The theoretical analyses extend to diverse aperture designs, including Gaussian, graded-index, and modulated apertures. The book delves into the nuanced dynamics of contrast in speckle images, exploring the Voigt distribution and the effects of modulation on contrast. In addition to aperture-centric discussions, the book addresses the processing of the formed speckle images. The chapters impart a comprehensive understanding of speckle imaging, encompassing discrimination in microscopy using digital speckle images, the utilization of concentric hexagonal pupils, and the exploration of irregular apertures. The book culminates in a detailed exploration of speckle imaging in the context of an annular Hermite Gaussian laser beam. Overall, this book serves as a valuable resource for researchers and academics seeking a profound exploration of speckle image formation, modulation, and processing across a spectrum of apertures and theoretical frameworks.

This book looks at the application of cascaded interferometers in both theoretical and practical contexts, particularly focusing on enhancing image contrast and facilitating medical diagnostics. Commencing with a comprehensive exploration of modulated two-beam interference employing Fourier optics, it progresses to discuss the implementation of a cascaded Michelson interferometer, with a specialized emphasis on its utility in analyzing microscopic structures such as glass fibers. Subsequent chapters examine step-index fibers using multiple laser beam interferometry and introduce sophisticated models for interpreting fringe shifts in unclad glass fibers through ordinary multiple-beam interference. Moreover, the book addresses the recognition of modulated apertures employing a Cascaded Fabry-Perot Interferometer (CFPI) and discusses its implications for various applications. It looks at the processing of retinal artery images leveraging higher orders of two-beam interference and investigates the utility of cascaded interferometric techniques in examining kidney and colon images. Furthermore, it presents a novel approach to image processing of coronaviruses utilizing interferometry techniques, showcasing the potential of interferometric methods in medical research and diagnostics. Through its systematic exploration of cascaded interferometers and their diverse applications, this book is suited for researchers, practitioners, and students alike, offering insights into both fundamental principles and advanced methodologies in interferometry and medical imaging.

The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.New in this edition: Provides comprehensive background on the theory of deep learning and its application to remote sensing data. Includes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications. Outlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies. Discusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models. This book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.

The agricultural sector remains under increasing pressure to reduce its environmental impact and consequent contribution to climate change, whilst also producing enough food to feed a rapidly growing population. With the variety and volume of data, coupled with the advanced methods for data processing, a new era of digital agriculture is emerging as a possible solution to this monumental challenge.Smart farms: improving data-driven decision making in agriculture provides a comprehensive review of the recent advances in gathering and analysing data as a means of improving farm sustainability, productivity and profitability. The book discusses the evolution of farm information management systems, highlighting current trends and challenges, as well as methods of data acquisition and analysis, including the use of artificial intelligence.

This book will highlight cutting-edge research with a particular emphasis on interdisciplinary approaches, novel techniques, and solutions to provide digital image security for applications in diverse areas. It further discusses important topics such as biometric imaging, big data security and privacy in healthcare, security and privacy in the internet of things, and security in cloud-based image processing.This book Presents new ideas, approaches, theories, and practices with a focus on digital image security and privacy solutions for real-world applications. Discusses security in cloud-based image processing for smart city applications. Provides an overview of innovative security techniques that are being developed to ensure the guaranteed authenticity of transmitted, shared, or stored digital images. Highlights approaches such as watermarking, blockchain, and hashing. to secure digital images in artificial intelligence, machine learning, cloud computing, and temper detection environments. Explains important topics such as biometric imaging, blockchain for digital data security, and protection systems against personal identity theft. It will serve as an ideal reference text for senior undergraduate, graduate students, academic researchers, and professionals in the fields including electrical engineering, electronics, communications engineering, and computer engineering.

A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data and illustrations on an accompanying companion website. Organized as a complete textbook, it provides an overview of the physics of medical image processing and discusses imaging physics, clinical applications of image processing, image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, tomographic reconstruction and basic machine learning.This Third Edition of the bestseller: Contains a brand-new chapter on the basics of machine learning Devotes more attention to the subject of color space Includes additional examples from radiology, internal medicine, surgery, and radiation therapy Incorporates freely available programs in the public domain (e.g., GIMP, 3DSlicer, and ImageJ) when applicable Beneficial to students of medical physics, biomedical engineering, computer science, applied mathematics, and related fields, as well as medical physicists, radiographers, radiologists, and other professionals, Applied Medical Image Processing: A Basic Course, Third Edition is fully updated and expanded to ensure a perfect blend of theory and practice.Wolfgang Birkfellner studied theoretical physics at, and holds a Ph.D in medical physics from, the University of Vienna, Austria. Currently, he is heading the Digital Image Processing Laboratory at the Center for Biomedical Engineering and Physics at the Medical University of Vienna. He is also a reviewer and editorial board member for major journals in the field, program committee member for international conferences, and principal investigator for several third-party funded research projects. Previously, he served as senior researcher at the University Hospital Basel/Switzerland and associate professor of medical physics at the Center for Biomedical Engineering and Physics of Vienna Medical School.

Polarimetric rotation domain interpretation is an innovation in radar image processing and understanding. Orientation rotation is a basic operator well known in the classic polarimetry theory, and significant advancement has been made in recent years. This book presents new and advanced concepts, theories, and methodologies in radar polarimetry and bridges the gaps between target scattering diversity, polarimetric radar data, and their practical applications. It provides a comprehensive summarization and investigation of polarimetric rotation domain features and demonstrates novel applications of polarimetric radar target detection, classification, target structure recognition, and urban damage mapping.FEATURES Focuses on basic concepts, key techniques, and various applications of the polarimetric rotation domain interpretation paradigm for the first time in book form Explains, represents, and utilizes the radar target scattering diversity effect Identifies new methods for target polarimetric scattering mechanism understanding Provides a comprehensive investigation of polarimetric roll-invariant features Includes novel application developments for imaging radar target detection, structure recognition, and damage mapping This book is written for researchers and professionals in radar polarimetry, radar imaging, microwave remote sensing, environmental studies, and other related fields. Senior undergraduate and postgraduate students, as well as teachers in the same fields, will benefit from the advancements highlighted in this book.

Source Separation in Physical-Chemical Sensing Master advanced signal processing for enhanced physical and chemical sensors with this essential guide In many domains (medicine, satellite imaging and remote sensing, food industry, materials science), data is obtained from large sets of physical/chemical sensors or sensor arrays. Such sophisticated measurement techniques require advanced and smart processing for extracting useful information from raw sensing data. Usually, sensors are not very selective and record a mixture of the useful latent variables. An innovative technique called Blind Source Separation (BSS) can isolate and retrieve the individual latent variables from a mixed-source data array, allowing for refined analysis that fully exploits these cutting-edged imaging and signal-sensing technologies. Source Separation in Physical-Chemical Sensing, supplies a thorough introduction to the principles of BSS, main methods and algorithms and its potential applications in various domains where data are obtained through physical or chemical sensors. Designed to bridge the gap between chemical/physical analysis and signal processing, it promises to be invaluable in many fields. Its alertness to the latest technologies and the full range of potential BSS applications make it an indispensable introduction to this cutting-edge method. Source Separation in Physical-Chemical Sensing readers will also find: BSS examples on chemical and physical sensors and devices to enhance processing and analysis. Detailed treatment of source separation in potentiometric sensors, ion-sensitive sensors, hyperspectral imaging, Raman and fluorescence spectroscopy, chromatography, and others. Thorough discussion of Bayesian source separation, nonnegative matrix factorization, tensorial methods, geometrical methods, constrained optimization, and more. Source Separation in Physical-Chemical Sensing is a must-have for researchers and engineers working in signal processing and statistical analysis, as well as for chemists, physicists or engineers looking to apply source separation in various application domains.

This book describes recent progress in the mechanistic studies and applications of surface-enhanced Raman scattering (SERS) and tip-enhanced Raman scattering (TERS). In this book, various novel techniques in SERS and TERS such as UV resonance TERS, electrochemical TERS, and three-dimensional SERS imaging are outlined. A number of new applications of SERS and TERS such as those to photonics, nanotechnology, microfluidics, and medical diagnosis along with future perspectives are also discussed. Finally, the applications of new data analysis, models, and machine learning in SERS and TERS studies are reviewed. The novelty of this book is the forming of a new bridge between the theory and applications. Also, the importance of chemical mechanism and that of semiconductor-enhanced Raman scattering is emphasized. The main audiences are researchers in academia, research institutes, companies, and graduate students looking for a comprehensive book on the latest studies of SERS and TERS.

The book offers a comprehensive exploration of cutting-edge nano-sensor technologies and their critical role in the field of biomedicine. This book covers a diverse range of topics, from fluorescence-based nanosensors that detect and quantify nanovesicles at the nanoscale to the recent advances in nano biosensors for agriculture and health applications. It provides valuable insights into the green synthesis of silver nanoparticles and their biomedical applications, highlighting eco-friendly approaches to nanomaterial production. The use of FRET-based tools for real-time quantification of vitamins and bioimaging is also extensively discussed, presenting innovative techniques for analysis. The book further delves into the potential of nanosensors in medicine, exploring the characteristic features that make them promising candidates for various medical applications. It also covers the application of fluorescent biosensors for intracellular signalling analysis, paving the way for understanding complex cellular processes. The book also discusses the use of nanosensors for monitoring blood clotting disorders, offering new possibilities for diagnostic and therapeutic interventions. It also presents fluorescent probes for detecting gas transmitters, such as H2S, CO, and NO, which have significant implications in the field of gas sensing and medical research. It serves as a valuable resource for researchers, scientists, and professionals in the fields of nanotechnology, biotechnology, and medicine, offering ground-breaking insights into the rapidly evolving world of nano sensors and their significant impact on healthcare and diagnostics.

This book describes recent important advancements in nanobiotechnology for biomedical applications as well as explaining fundamentals and examining potential applications in biomedical settings. Nanobiotechnology is the study of applications of nanotechnologies in biological or biomedical settings. It is an interdisciplinary field of growing importance whose subcategories encompass chemical engineering, molecular biophysics, and cellular mechanics or tissue engineering. This book is structured in a way to summarize the latest process in nanobiotechnology at the molecular, cellular, tissue, and organ levels. The principles of the underlying science are presented, and widely accepted applications in the field and newly designed techniques are extensively described. Fresh insights are provided into the convergence of science and technology. This book is an ideal guide to the field that will be of value especially for researchers from interdisciplinary fields and higher level graduate students with extraordinary inspirations and research training.

Volume II of the Six Volume Remote Sensing Handbook, Second Edition, is focused on digital image processing including image classification methods in land cover and land use. It discusses object-based segmentation and pixel-based image processing algorithms, change detection techniques, and image classification for a wide array of applications including land use/land cover, croplands, urban studies, processing hyperspectral remote sensing data, thermal imagery, light detection and ranging (LiDAR), geoprocessing workflows, frontiers of GIScience, and future pathways. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.Features Provides the most up-to-date comprehensive coverage of digital image processing. Highlights object-based image analysis (OBIA) and pixel-based classification methods and techniques of digital image processing. Demonstrates practical examples of image processing for a myriad of applications such as land use/land cover, croplands, and urban. Establishes image processing using different types of remote sensing data that includes multispectral, radar, LiDAR, thermal, and hyperspectral. Highlights change detection, geoprocessing, and GIScience. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.

This book presents an up-to-date review of the field of neutron imaging as an advanced characterization method in science and industry. It focusses on its applications across disciplines from condensed matter research to cultural heritage, from energy research to advanced manufacturing, from environment to mobility, and in general contributions that neutron imaging makes and can make to tackle the pressing issues of today. Before the rich capabilities of neutron imaging are laid out, the reader is introduced to the particular and relevant features of neutrons alongside neutron imaging in the context of other characterization techniques, while also covering the history of neutron imaging and, most importantly, state-of-the-art capabilities and contrast modalities. The book closes with a more technical part on instrumentation, methods and software and data analyses for those readers with an interest not only in practical and scientific applications but also in required instruments and techniques. Key Features Written by editors and contributors from a leading institution in neutron imaging Has an application focus Covers applications in hard and soft matter

This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook. This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.

This book focuses on an eminent technology called next generation sequencing (NGS) which has entirely changed the procedure of examining organisms and will have a great impact on biomedical research and disease diagnosis. Numerous computational challenges have been brought on by the rapid advancement of large-scale next-generation sequencing (NGS) technologies and their application. The term''biomedical imaging''refers to the use of a variety of imaging techniques (such as X-rays, CT scans, MRIs, ultrasounds, etc.) to get images of the interior organs of a human being for potential diagnostic, treatment planning, follow-up, and surgical purposes. In these circumstances, deep learning, a new learning method that uses multi-layered artificial neural networks (ANNs) for unsupervised, supervised, and semi-supervised learning, has attracted a lot of interest for applications to NGS and imaging, even when both of these data are used for the same group of patients.The three main research phenomena in biomedical research are disease classification, feature dimension reduction, and heterogeneity. AI approaches are used by clinical researchers to efficiently analyse extremely complicated biomedical datasets (e.g., multi-omic datasets. With the use of NGS data and biomedical imaging of various human organs, researchers may predict diseases using a variety of deep learning models. Unparalleled prospects to improve the work of radiologists, clinicians, and biomedical researchers, speed up disease detection and diagnosis, reduce treatment costs, and improve public health are presented by using deep learning models in disease prediction using NGS and biomedical imaging. This book influences a variety of critical disease data and medical images.

This new book focuses on mathematical and numerical methods for medical images and data. The book presents the various mathematical modeling techniques, numerical analysis, computing and computational techniques, and applications of machine learning for medical images and medical informatics. It also focuses on programming concepts using MATLAB and Phython for medical image and signal analytics. The volume demonstrates the use of computational techniques and tools such as machine learning, deep neural networks, artificial intelligence and human-computer interaction,fusion methods for CT and pet images, etc., for diagnosis of brain disorders, cervical cancer, lung disease, melanoma, atrial fibrillation and other circulatory issues, dental images, diabetes, and other medical issues.

Advances in artificial intelligence (AI), widespread mobile devices, internet technologies, multimedia data sources, and information processing have led to the emergence of multimedia processing. Multimedia processing is the application of signal processing tools to multimedia data—text, audio, images, and video—to allow the interpretation of these data, particularly in urban and smart city environments. This book discusses the new standards of multimedia and information processing from several technological perspectives, including analytics empowered by AI, streaming on the intelligent edge, multimedia edge caching and AI, services for edge AI, and hardware and devices for multimedia on edge intelligence.FEATURES Covers a wide spectrum of enabling technologies for AI and machine learning for multimedia and information processing Includes many applications using AI, from robotics and driverless cars to environmental, human health, and remote sensing Presents an overview of the fundamentals of AI and multimedia processing: imaging, signal, and speech Explains new models and architectures for multimedia streaming, services, and caching for AI Discusses the emerging paradigms of the deployment of hardware and devices for multimedia on edge intelligence Gives recommendations for future research in multimedia and AI This book is written for engineers and graduate students in image and signal processing, information processing, environmental engineering, medical and public health, etc., who are interested in machine learning, deep learning, and multimedia processing.

This book bridges the gap between physical foundations and medical applications of the NMR and MRI technologies, making them accessible to both physicists and biomedical scientists. The physical basis of these technologies is discussed in a manner that can be easily understood by scientists from different backgrounds, aiding them in gaining a clearer understanding of the subject.. For instance, the medical applications of NMR and MRI technologies are described in a way that is accessible to physicists. Moreover, geometrical descriptions and specific mathematical tools are used to facilitate the visualizations of many concepts. Furthermore, the book covers modern technologies such as hyperpolarization and several other state-of-the-art techniques, along with their foundations.

This edited book contains chapters that describe bespoke three-dimensional (3D) printing aimed at democratizing anatomy education by providing open-source scans for download and printing as 3D models. The long history of anatomical models as educational resources is explored in fascinating detail, from wax models through to a range of cutting-edge 3D printers. In a related chapter, a veterinary anatomy educator describes a transformation in teaching and learning methods in veterinary education using Augmented Reality (AR), Virtual Reality (VR) and 3D visualization methods like CT or MRI images which can be used to reconstruct complete 3D virtual models, as well as 3D prints from these reconstructed scans. The first digital, cloud-based human skeletal repository in southern Africa is an extensive and categorized ‘bone library'globally accessible for use in education and research. A chapter details a digital protocol for the bioprinting of a 3D acellular dermal scaffold (ADS) for use in wound healing, as an alternative to skin grafting for secondary intention wound healing. A chapter offers an extensive guide to applied anatomy for acupuncture and is provided in 4 parts viz, upper limb, lower limb, trunk, head and neck. Each part of the chapter is replete with beautiful cadaveric images including annotations that relate specifically to information in the text. We look at vertebral artery variations and its role in clinical conditions, current insights into polycystic ovarian syndrome, and visual interpretation using multiplex immunoassay of serum samples. This book will appeal to educators of both human and animal anatomy who have a keen interest and focus on the use of bespoke 3D printing, augmented and virtual reality, as well as acupuncture practitioners, clinicians, regenerative medicine specialists, surgeons, tissue engineers and artists.

Volume V of theSix Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing technologies for studying water resources, including groundwater, floods, snow and ice, and wetlands. It discusses water productivity studies from Earth observation data characterization and modeling, mapping their successes and challenges. Chapters include remote sensing of surface water hydrology; quantitative geomorphology; river basin studies; floods; wetlands, including mangroves and river deltas; groundwater studies; crop water use or actual evapotranspiration modeling and mapping; and snow and ice mapping. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science for water resources, including wetlands, floods, snow, and ice. Provides comprehensive assessments of crop water use and crop water productivity modeling and mapping, including evapotranspiration studies. Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing, such as machine learning, cloud computing, and artificial intelligence (AI). Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book and their extensive knowledge of new and emerging trends.

This book provides a comprehensive survey of coded optical imaging. Illustrated with 386 figures, it takes readers from the fundamental concepts and theories to the latest research and applications in this field. It can be used in graduate-level courses in optics and photonics. It can also benefit scientists and engineers in optical imaging, computer graphics, and other related disciplines. This book starts from a brief history of coded optical imaging and key operations in its data acquisition and image reconstruction. It then presents the latest progress in technological development and applications in the areas of biomedicine, materials science, industrial inspection, optical physics, imaging science, information theory, and more. Chapters describe the most representative techniques, exposing readers to key research themes, including: · Optical signal encoding · Image reconstruction techniques · Compressed sensing · Artificial intelligence · Metasurface · Structured light · Lensless imaging · Holography · Tomography · Light-field imaging · Utrafast imaging · Hyperspectral imaging · Polarization imaging · Super-resolution imaging

FUNDAMENTALS AND APPLICATIONS OF COLOUR ENGINEERING EXPERT OVERVIEW OF THE WORLD OF COLOUR ENGINEERING IN THE 21ST CENTURY, WITH NEW, UPDATED TECHNOLOGIES AND A MATLAB TOOLBOX Fundamentals and Applications of Colour Engineering provides important coverage on topics that hold the power to extend our knowledge of colour reproduction, such as colour measurement and appearance and the methods used, with additional discussion of the technologies responsible for reproducing colour across a wide range of devices, together with the colour management systems that are used to connect devices and exchange information. Composed of 20 chapters, the Editor and his team of expert contributors consider the new ICC.2 architecture, an approach that introduces an evolutionary step in colour engineering, ensuring wider possibilities for technology. The text also considers the emerging applications for advanced colour management, such as processing spectral data, handling HDR images, and the capture and reproduction of material appearance. The text is supported by a MATLAB toolbox of relevant functions and data. Fundamentals and Applications of Colour Engineering is a useful reference for anyone involved in the reproduction of colour and a strong supplementary course potential for master???s degrees with a colour science component. Fundamentals and Applications of Colour Engineering includes information on: Instruments and methods of colour measurement, colorimetry, and colour difference, and colour appearance Colour spaces and colour encodings, and characterizing input devices, displays and printers Colour gamut communication and imaging standards, high dynamic range imaging, and HDR Sensor adjustment in colour management, open source tools for colour engineering, and colour transform evaluation Supporting active learning with the inclusion of a toolbox of relevant functions and data, Fundamentals and Applications of Colour Engineering is an essential resource for students in relevant programs of study, and for professionals within colour engineering and reproduction looking to maximize their skill set and keep their skills updated.

This is a comprehensive, overarching, interdisciplinary book and a valuable contribution to a unified view of visualisation, imaging, and mapping. It covers a variety of modern techniques, across an array of spatial scales, with examples of how to map, monitor, and visualise the world in which we live. The authors give detailed explanations of the techniques used to map and monitor the built and natural environment and how that data, collected from a wide range of scales and cost options, is translated into an image or visual experience. It is written in a way that successfully reaches technical, professional, and academic readers alike, particularly geographers, architects, geologists, and planners.FEATURES Includes in-depth discussion on 3D image processing and modeling Focuses on the 3D application of remote sensing, including LiDAR and digital photography acquired by UAS and terrestrial techniques Introduces a broad range of data collection techniques and visualisation methods Includes contributions from outstanding experts and interdisciplinary teams involved in earth sciences Presents an open access chapter about the EU-funded CHERISH Project, detailing the development of a toolkit for the 3D documentation and analysis of the combined coastline shared between Ireland and Wales Intended for those with a background in the technology involved with imaging and mapping, the contributions shared in this book introduce readers to new and emerging 3D imaging tools and programs.