10,978 results
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2. Artificial Intelligence Enabled IOT System for Football Identification in a Football Match
- Author
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Singh, Mahesh Kumar, Singh, Akhilesh Kumar, Singh, Pushpendra, Kalpana, Rishi, Om Prkash, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Narayana, V. A., editor, Suganthan, P. N., editor, Anguera, Jaume, editor, Koppula, Vijaya Kumar, editor, and Gupta, Suneet Kumar, editor
- Published
- 2023
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3. COVID-19 Signs Detection in Chest Radiographs Using Convolutional Neural Networks
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Armoa, Guido Sebastián, Lencina, Nuria Isabel Vega, Eckert, Karina Beatriz, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, and Pesado, Patricia, editor
- Published
- 2023
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4. Single-camera system for measuring paper deformations based on image analysis
- Author
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Paweł Pełczyński, Włodzimierz Szewczyk, and Maria Bieńkowska
- Subjects
digital image processing ,characteristic point tracking ,paper physical properties ,deformation analysis ,poisson’s ratio ,Technology - Abstract
The article presents a new technique for measuring paper deformation in unidirectional tensile tests, based on recording and analysis of a series of specimen images. The proposed technique differs from the DIC-based deformation measurement in that the cross-correlation of image data has been replaced with linear filtering. For this purpose, a regular grid of markers is printed on the sample. Filtering the image creates local maxima in the places where markers occur. The developed algorithm finds their location with sub-pixel accuracy. Printing a grid of markers on tested paper and use of reference objects visible in the same image as the paper sample, freed from the need to mechanically connect the camera and the universal testing machine and from the necessity to electronically synchronize their work. The obtained deformation distributions and Poisson’s ratios are in accordance with the literature data which confirms the correctness of the developed measurement technique.
- Published
- 2021
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5. Image Reconstruction Modeling, Simulation and Experimental Study on Wood Fibrous Paper
- Author
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Wangyu Liu, Weigui Xie, Yanping Dang, Changyuan Yan, and Aimin Tang
- Subjects
paper-sheet ,fibrous network ,digital image processing ,image reconstruction modeling ,Science ,Textile bleaching, dyeing, printing, etc. ,TP890-933 - Abstract
Modeling of paper fibrous network is necessary and meaningful. This paper presents a method for modeling and Young’s modulus calculation of wood paper, based on the morphology of fibrous network. Sixteen groups of eucalyptus pulp paper sheets were prepared with different processing parameters. Samples were cut for Scanning Electron Microscope (SEM) images capture, with which structural models of fibrous networks were constructed through digital image processing technology. A reconstructing algorithm is proposed in this paper, which mainly includes “skeleton” extraction and simplification. Two-dimensional line-body fibrous models were established and served as represent volume element models, based on which tensile behavior was simulated in ABAQUS. Young’s modulus of paper sheets was then calculated while tensile test was carried out. Porosity of paper sheets prepared is calculated by hypothetical formula, counted in SEM images and measured by medium saturation method. Porosity of structural models is attained through model-image conversion. Consistency of morphology between reconstructed models and SEM images is assessed. Comparison of properties between paper sheets and models majorly focuses on porosity, Young’s modulus, and their relationship with paper-making process parameters. Patterns of process parameters’ influence on paper’s porosity and elastic modulus are analyzed on the premise that results in simulation and experiments agree to each other.
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- 2020
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6. Automated Vehicle Number Recognition Scheme Using Neural Networks
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Anish, T. P., Prathap, P. M. Joe, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Tyagi, Vipin, editor, Gupta, P. K., editor, Flusser, Jan, editor, and Ören, Tuncer, editor
- Published
- 2022
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7. Automatic Extraction of Heat Maps and Goal Instances of a Basketball Game Using Video Processing
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Eberle, Gerónimo, Bourlot, Jimena, Martínez, César, Albornoz, Enrique M., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Pesado, Patricia, editor, and Gil, Gustavo, editor
- Published
- 2022
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8. An Android App to Classify Culicoides Pusillus and Obsoletus Species
- Author
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Gutiérrez, Sebastián, Pérez, Noel, Benítez, Diego S., Zapata, Sonia, Augot, Denis, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Orjuela-Cañón, Alvaro David, editor, Lopez, Jesus, editor, Arias-Londoño, Julián David, editor, and Figueroa-García, Juan Carlos, editor
- Published
- 2021
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9. Digital colorimetric analysis for estimation of iron in water with smartphone-assisted microfluidic paper-based analytical devices.
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Balasubramanian, Sivasamy, Udayabhanu, Aditya, Kumar, Ponnusamy Senthil, Muthamilselvi, Ponnuchamy, Eswari, Chidhambaram, Vasantavada, Aalekhya, Kanetkar, Shreyas, and Kapoor, Ashish
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IRON , *SMARTPHONES , *DIGITAL images , *DIGITAL image processing , *IMAGE processing , *COLORIMETRIC analysis , *COLORIMETRY - Abstract
Microfluidic paper-based analytical devices are emerging as promising options for on-the-spot detection of chemical contaminants in water. The coupling of these devices with digital imaging technology has attracted immense interest in developing portable sensor applications. However, the potential of digital techniques still remains to be fully explored. In this work, we integrate digital imaging with microfluidic paper-based analytical devices to develop a portable colorimetric assay for iron. The experimental conditions are optimised using image analysis and the effects of imaging equipment and colorimetric analysis methods on the readout of devices are studied using numerical, graphical and statistical techniques. The experimental results are obtained for the estimation of iron contamination in water samples using a colorimetric assay based on iron (III)-thiocyanate reaction. The digital image acquisition approach using smartphone as imaging equipment is adopted for on-the-spot colorimetric data collection. Image processing techniques are employed to estimate the iron concentration in water from digital images. Greyscale colour intensity obtained from a digital image is identified as a readout of the analytical device and employed for quantitative assessment. The limit of detection for iron is estimated to be 0.26 ppm. The microfluidic approach offers good recovery and repeatability with relative standard deviation of 1.4%. The maximum percentage difference for intensities between the image analysis methods is 4.94% and that between the imaging equipment is 9.96%. The gradients of regression lines for pairwise equipment and method outputs with zero intercept range from 0.9931 to 1.0162 with high values of coefficients of determination. The correlation coefficient values for various paired comparisons (>0.99) suggest strong agreement. Statistical test results suggest no significant differences between methods and between imaging equipment (significance level 0.05). The findings suggest the efficacy of digital imaging and colorimetric analysis for paper-based analytical devices. [ABSTRACT FROM AUTHOR]
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- 2023
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10. Fabrication of a paper-based facile and low-cost microfluidic device and digital imaging technique for point-of-need monitoring of hypochlorite.
- Author
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Debnath, Snehasish, Ghosh, Riya, Pragti, Mukhopadhyay, Suman, Baskaran, Kamesh Viswanathan, and Chatterjee, Pabitra B.
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MICROFLUIDIC devices , *DIGITAL technology , *DIGITAL image processing , *DIGITAL cameras , *IMAGING systems , *FLUORESCENCE spectroscopy , *ULTRAVIOLET-visible spectroscopy - Abstract
Lab-on-a-paper-based devices are promising alternatives to the existing arduous techniques for point-of-need monitoring. The present work reports an instant and facile method to produce a microfluidic paper-based analytical device (μPAD). The fabricated μPAD has been used to detect hypochlorite (OCl−) by incorporating newly synthesized chromo-fluorogenic ratiometric probes 1 and 2 into the sample reception zone. The probes showed high selectivity and fast response (<10 s) toward OCl− with an excellent linear relationship in the concentration range of 0–100 μM. The concentration-dependent fluorometric change driven by the reaction of 1@μPAD with OCl− has been monitored using gel-doc imaging systems, which is unprecedented. Digitizing the intensity of the colour solution with different mathematical models of colour has developed a straightforward method for monitoring OCl− without any interference from its competitors. 1@μPAD can detect OCl− at ∼10 times lower than the WHO recommended limit. The detection limit of 1@μPAD via a digital camera-based fluorescence technique was found to be better over digital camera-based cuvette assays. Therefore, 1@μPAD has been successfully utilized to monitor OCl− in actual environmental water samples with portability, ease of use, and sensitivity. The analytical RSD was found to be ≤3% based on fluorimetric detection using 1@μPAD. The chemodosimetric reaction between OCl− and the probe was evidenced by UV-vis and fluorescence spectroscopy, 1H NMR, and ESI-MS. The rapid response time, biocompatibility, low cytotoxicity, 100% aqueous solubility, ratiometric feature, and exclusive OCl− selectivity over other competitive ROS/RNS successfully lead to the application of the probes for bioimaging of exogenous as well as endogenous OCl− in normal cells (HEK293) and cancerous cells (HeLa). [ABSTRACT FROM AUTHOR]
- Published
- 2023
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11. Home Automation Security System Based on Face Detection and Recognition Using IoT
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Ghafoor, Sana, Khan, Khan Bahadar, Tahir, Muhammad Rizwan, Mustafa, Maryoum, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bajwa, Imran Sarwar, editor, Sibalija, Tatjana, editor, and Jawawi, Dayang Norhayati Abang, editor
- Published
- 2020
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12. A Computer Aided Diagnosis System for Skin Cancer Detection
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Carrera, Enrique V., Ron-Domínguez, David, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Washio, Takashi, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Botto-Tobar, Miguel, editor, Pizarro, Guillermo, editor, Zúñiga-Prieto, Miguel, editor, D’Armas, Mayra, editor, and Zúñiga Sánchez, Miguel, editor
- Published
- 2019
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13. Features of Indian paper currency and its validation.
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Sarkar, Sonia and Pal, Arun Kiran
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DIGITAL image processing , *HARD currencies , *LIKERT scale , *FUZZY logic - Abstract
In this paper the different salient features of the old and new version of Indian paper currency notes have been studied and compared. The list of security features of Indian currencies have been mentioned and discussed. Various kinds of conventional methods that are used to detect authenticity and to recognize a note has been explained. It has been observed that each technique has its own objective and significance. There are many conventional tools that can be used to recognize different features of a note. To classify different techniques, the detection method comprises of two parts i.e., the first line detection method and the second line detection method. Physical dimensions of a paper note along with its thickness have pointed out a new parameter which is the diagonal of a genuine currency note that has been calculated to obtain a proposed standardization and each value differs from different denominations. The classification of different Indian banknotes giving emphasis on its characteristics, both salient and security features, dimensions and detection methods has been mentioned and briefly explained. For validation of the paper currencies two methods have been discussed emphasizing on fuzzy logic framework by taking into consideration a 3-point likert scale and another validation methodology using digital image processing. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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14. Design a Novel Detection for Maculopathy Using Weightage KNN Classification
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Pattebahadur, Chetan, Manza, Ramesh, Kamble, Anupriya, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, K. C., editor, and Hegadi, Ravindra S., editor
- Published
- 2019
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15. Nail Image Segmentation for Disease Detection
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Marulkar, Shweta, Mente, Rajivkumar, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, K. C., editor, and Hegadi, Ravindra S., editor
- Published
- 2019
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16. 基于碳点分子印迹纸芯片法测定 金银花绿原酸含量.
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乐 薇, 孔京华, 刘诗诗, and 段凤琪
- Subjects
CHLOROGENIC acid ,HYDROPHILIC surfaces ,IMPRINTED polymers ,FILTER paper ,DETECTION limit ,MONOMERS ,DIGITAL image processing - Abstract
Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2022
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17. Detecting Infrared Target with Receptive Field and Lateral Inhibition of HVS
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Zhao, Yufei, Song, Yong, Zhao, Shangnan, Li, Yun, Shi, Guowei, Guo, Zhengkun, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Wang, Yongtian, editor, Jiang, Zhiguo, editor, and Peng, Yuxin, editor
- Published
- 2018
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18. Digital image analysis for microfluidic paper based pH sensor platform
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Ashish Kapoor, Varshini Karthik, and Oinam Robita Chanu
- Subjects
Software portability ,business.industry ,Mobile phone ,Computer science ,Digital image processing ,Digital image analysis ,Microfluidics ,Paper based ,Color space ,business ,Sample (graphics) ,Computer hardware - Abstract
pH of fluids is an important indicator in biomedical and environmental studies. Conventional pH analysis techniques are often either instrumentation-intensive, expensive or qualitative in nature. Microfluidics based analytical devices have emerged as powerful alternative to overcome some of the existing limitations. These devices are characterized by low reagent and sample volumes, controlled flow, cost-effectiveness and portability. In this work, we report a microfluidic paper-based lab-on-a-chip pH sensing platform that incorporates passive fluid flow of samples. The colorimetric pH detection is integrated with mobile phone based image acquisition, followed by digital image processing and analysis for quantitative interpretation of data. The images are analyzed using image processing algorithms and color space. Regression analysis of data acquired from digital image analysis was used to evaluate the mathematical model for estimation of pH. The insights gained by this work would prove useful in development and deployment of portable and miniaturized sensors.
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- 2021
19. Concepts of Binary Morphological Operations Dilation and Erosion on the Triangular Grid
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Abdalla, Mohsen, Nagy, Benedek, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Barneva, Reneta P., editor, Brimkov, Valentin E., editor, and Tavares, João Manuel R.S., editor
- Published
- 2017
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20. Increasing the Learning Performance via Augmented Reality Technology : A Case Study of Digital Image Processing Course
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Lai, ChinLun, Chu, YuFang, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wu, Ting-Ting, editor, Gennari, Rosella, editor, Huang, Yueh-Min, editor, Xie, Haoran, editor, and Cao, Yiwei, editor
- Published
- 2017
- Full Text
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21. Canadian Association of Radiologists Prostate MRI White Paper.
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Chang, Silvia D., Reinhold, Caroline, Kirkpatrick, Iain D. C., Clarke, Sharon E., Schieda, Nicola, Hurrell, Casey, Cool, Derek W., Tunis, Adam S., Alabousi, Abdullah, Diederichs, Brendan J., and Haider, Masoom A.
- Subjects
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DIGITAL image processing , *MEN'S health , *REPORT writing , *BIOPSY , *MAGNETIC resonance imaging , *RADIOLOGIC technology , *QUALITY assurance , *PROSTATE tumors - Abstract
Prostate cancer is the most common malignancy and the third most common cause of death in Canadian men. In light of evolving diagnostic pathways for prostate cancer and the increased use of MRI, which now includes its use in men prior to biopsy, the Canadian Association of Radiologists established a Prostate MRI Working Group to produce a white paper to provide recommendations on establishing and maintaining a Prostate MRI Programme in the context of the Canadian healthcare system. The recommendations, which are based on available scientific evidence and/or expert consensus, are intended to maintain quality in image acquisition, interpretation, reporting and targeted biopsy to ensure optimal patient care. The paper covers technique, reporting, quality assurance and targeted biopsy considerations and includes appendices detailing suggested reporting templates, quality assessment tools and sample image acquisition protocols relevant to the Canadian healthcare context. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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22. Fault detection system for paper cup machine based on real-time image processing.
- Author
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Aydın, Alaaddin and Güney, Selda
- Subjects
- *
PROGRAMMABLE controllers , *OBJECT recognition (Computer vision) , *SERVOMECHANISMS , *ARTIFICIAL intelligence , *DEEP learning , *DIGITAL image processing , *PRODUCT image , *IMAGE processing - Abstract
In the production of paper cups in industrial factories, it is tried to print high quality cups with less waste loss with the help of sensors and heating resistances mounted on the paper cup machine. In this study, a system that detects faulty products based on image processing and removes it by controlling the machine with servo motors, asynchronous motors and programmable logic controller (PLC) is designed. For fault product detection, classification has been performed using real-time Haarcascade algorithm and You Only Look Once (YOLO) algorithm which is a deep learning methods, and real-time object detection has been carried out using the OpenCv library. With this study, an effective faulty product detection and removing hardware system was realized by adapting artificial intelligence algorithms to a machine used in industry. Based on the results, a whole system can be applied to systems that involve removing a faulty product from a band in any production, packaging etc. facility is proposed. A hardware consisting of servo motors, asynchronous motors and PLC was designed to separate faulty cups from the existing paper cup production machine in this study. Then, a data set composed of 1068 images was created with images taken from the camera for faulty and faultless paper cups. Using this dataset, the effect of different deep learning methods on performance in the real-time system has been examined and successful results have been obtained. The optimal outcome was achieved, yielding a real-time application accuracy rate of 90.8% through the utilization of the Yolov5x architecture. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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23. 基于X射线断层扫描技术的 涂布纸张三维结构表征.
- Author
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王 益, 刘 寅, and 沈文浩
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DIGITAL image processing ,POROSITY ,DRAG (Hydrodynamics) ,ROOT-mean-squares ,SURFACE morphology - Abstract
Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
24. Thermal fiber orientation tensors for digital paper physics.
- Author
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Schneider, Matti, Kabel, Matthias, Andrä, Heiko, Lenske, Alexander, Hauptmann, Marek, Majschak, Jens-Peter, Penter, Lars, Hardtmann, André, Ihlenfeldt, Steffen, Westerteiger, Rolf, Glatt, Erik, and Wiegmann, Andreas
- Subjects
- *
FIBER orientation , *ELECTRONIC paper , *THERMAL conductivity , *COMPUTED tomography , *WOOD products , *DIGITAL image processing - Abstract
We estimate the orientation of wood fibers in porous networks like paper, paperboard or fiberboard by computing digital thermal conductivity experiments on micro-computed tomography ( μ CT) images with artificial isotropic thermal conductivity parameters. The accuracy of mechanical and thermal constitutive models for porous wood fiber based materials crucially depends on knowing the wood fiber orientation. Unfortunately, due to the high porosity, the micro-heterogeneity of wood fibers, the high carbon content of organic materials and the unknown additives present in industrial paper, μ CT-scans often exhibit low contrast and strong artifacts. Conventional image processing approaches encounter difficulties, as they rely upon convex fiber cross sections. We propose a solution by circumventing the segmentation of single wood fibers in μ CT images, by performing thermal conductivity simulations on binarized wood fiber structures, where an artificial isotropic thermal conductivity is associated to the fibers and the pore space is considered as isolating. The local and global temperature fluxes are assembled into a fiber orientation tensor. This method overcomes the limitations of the mentioned local image processing approaches, as individual fibers need not be resolved and convergence for increasing resolution is a consequence of abstract mathematical theory. We use our novel method to analyze large three-dimensional μ CT-scans and a synchrotron scan of a paperboard sample, serving as the starting point of an accurate micromechanical modeling of the effective anisotropic mechanical behavior of paper and paperboard. These results are crucial for calculating the mechanical strength of deep-drawn paperboard, which will be accomplished in a subsequent article. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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25. Quality Evaluation of Apple Fruit for Automated Food Processing
- Author
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Komal, Sindhi, Pandya, Jaymit, Vegad, Sudhir, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Chen, Phoebe, Editorial Board Member, Du, Xiaoyong, Editorial Board Member, Kara, Orhun, Editorial Board Member, Liu, Ting, Editorial Board Member, Sivalingam, Krishna M., Editorial Board Member, Washio, Takashi, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Unal, Aynur, editor, Nayak, Malaya, editor, Mishra, Durgesh Kumar, editor, Singh, Dharm, editor, and Joshi, Amit, editor
- Published
- 2016
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26. An intelligent system for paper currency verification using support vector machines.
- Author
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Sarfraz, M., Sargano, A. Bux, and Haq, N. Ul
- Subjects
SUPPORT vector machines ,DIGITAL image processing ,DIGITAL technology ,COMPUTATIONAL complexity ,CLASSIFICATION algorithms - Abstract
In recent years, with the advent of digital imaging technology, e.g., color printers and color scanners, it has become easier for counterfeiters to produce fake banknotes. The spread of counterfeit money causes loss to everyone involved in financial transactions. Therefore, an effective and reliable verification technique is necessary for successful and reliable financial transactions. This paper presents a cognitive computationbased technique for paper currency verification. In this regard, Scanning Electron Microscopy (SEM) and X-Ray Diffraction (XRD) analyses of counterfeit and genuine banknotes were performed. This experimentation confirmed that the materials used in preparation of genuine and counterfeit banknotes were totally different from each other. Based on these findings, a set of discriminative and robust features was proposed to re ect these differences in currency images. The proposed features represented characteristics of the materials of the banknote, such as printing ink, chemical composition, and surface coarseness. With these robust features, Support Vector Machines (SVMs) were employed for classification. In order to evaluate the performance of the proposed technique, experimentations were performed on a self-constructed dataset of Pakistani banknotes, comprised of 195 currency images, including 35 counterfeit banknotes. The results showed that the proposed system achieved 100% verification ability for properly captured images. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
27. DNA computing algorithm for recyclable waste paper sorting.
- Author
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Rahman, Mohammad Osiur, Hussain, Aini, Scavino, Edgar, Hannan, M. A., and Basri, Hassan
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COMPUTER algorithms ,PAPER recycling ,MOLECULAR computers ,DATA replication ,TEMPLATE matching (Digital image processing) ,DIGITAL image processing - Abstract
This article explores the applicability of DNA Computing in recyclable waste paper sorting. The primary challenge in the recycling of paper is to obtain raw material with the highest purity. In recycling, waste papers are segregated into various grades as they are subjected to different recycling processes. Highly sorted paper streams w ill facilitate high quality end product, and save processing chemicals and energy. Due to inadequate throughput and some major drawbacks of mechanical paper sorting systems, the popularity of optical paper sorting systems has increased. Automated paper sorting systems offer significant advantages over manual paper sorting systems in terms of fatigue, throughput, speed, and accuracy. In this research, a new DNA computing algorithm has been designed. It is based on the template matching technique for segregating recyclable waste paper according to its grades. Using the concepts of replication and massive parallelism operations, the DNA computing algorithm can efficiently reduce the computational time of the template matching method for real time inspection. The algorithm is implemented using silicon-based computer to verify the success rate in paper grade identification. [ABSTRACT FROM AUTHOR]
- Published
- 2014
28. Chemometric challenges in development of paper-based analytical devices: Optimization and image processing
- Author
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Paolo Oliveri, Riccardo Leardi, Daniel Citterio, and Vahid Hamedpour
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Optimal design ,Optimization ,Image processing ,D-optimal design ,Design of experiments ,Image processing algorithm ,Mathematical morphology recognition (MMR) ,Microfluidic paper-based analytical devices (μPADs) ,02 engineering and technology ,01 natural sciences ,Biochemistry ,Commercialization ,Analytical Chemistry ,Digital image processing ,Environmental Chemistry ,Spectroscopy ,Chemistry ,010401 analytical chemistry ,Paper based ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Multiple factors ,Computer engineering ,RGB color model ,0210 nano-technology - Abstract
Although microfluidic paper-based analytical devices (μPADs) get a lot of attention in the scientific literature, they rarely reach the level of commercialization. One possible reason for this is a lack of application of machine learning techniques supporting the design, optimization and fabrication of such devices. This work demonstrates the potential of two chemometric techniques including design of experiments (DoE) and digital image processing to support the production of μPADs. On the example of a simple colorimetric assay for isoniazid relying on the protonation equilibrium of methyl orange, the experimental conditions were optimized using a D-optimal design (DO) and the impact of multiple factors on the μPAD response was investigated. In addition, this work demonstrates the impact of automatic image processing on accelerating color value analysis and on minimizing errors caused by manual detection area selection. The employed algorithm is based on morphological recognition and allows the analysis of RGB (red, green, and blue) values in a repeatable way. In our belief, DoE and digital image processing methodologies are keys to overcome some of the remaining weaknesses in μPAD development to facilitate their future market entry.
- Published
- 2020
29. SINGLE-CAMERA SYSTEM FOR MEASURING PAPER DEFORMATIONS BASED ON IMAGE ANALYSIS.
- Author
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Pełczynski, Paweł, Szewczyk, Włodzimierz, and Bieńkowska, Maria
- Subjects
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POISSON'S ratio , *IMAGE analysis , *POISSON distribution , *TENSILE tests , *DENTAL cements , *ELECTRON tube grids - Abstract
The article presents a new technique for measuring paper deformation in unidirectional tensile tests, based on recording and analysis of a series of specimen images. The proposed technique differs from the DIC-based deformation measurement in that the cross-correlation of image data has been replaced with linear filtering. For this purpose, a regular grid of markers is printed on the sample. Filtering the image creates local maxima in the places where markers occur. The developed algorithm finds their location with sub-pixel accuracy. Printing a grid of markers on tested paper and use of reference objects visible in the same image as the paper sample, freed from the need to mechanically connect the camera and the universal testing machine and from the necessity to electronically synchronize their work. The obtained deformation distributions and Poisson's ratios are in accordance with the literature data which confirms the correctness of the developed measurement technique. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
30. A New Waveform Mosaic Algorithm in the Vectorization of Paper Seismograms
- Author
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Maofa Wang, Qigang Jiang,, Jilin Feng, Xueqin Yu, Nan Lin, Shichen Feng, and Cong Liu
- Subjects
Analog seismic record ,Digital image processing ,vectorization ,Time coordinates mosaic ,Waveform coordinates mosaic. ,Technology (General) ,T1-995 - Abstract
History paper seismograms are very important information for earthquake monitoring and prediction, and the vectorization of paper seismograms is a very import problem to be resolved. In this paper, a new waveform mosaic algorithm in the vectorization of paper seismograms is presented. We also give out the technological process to waveform mosaic, and a waveform mosaic system used to vectorize analog seismic record has been accomplished independently. Using it, we can precisely and speedy accomplish waveform mosaic for vectorizing analog seismic records.
- Published
- 2014
31. Development of a morphological color image processing algorithm for paper-based analytical devices
- Author
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Tsuyoshi Minami, Cristina Malegori, Paolo Oliveri, and Vahid Hamedpour
- Subjects
Fabrication ,Computer science ,02 engineering and technology ,Mathematical morphology ,010402 general chemistry ,01 natural sciences ,Signal ,Square (algebra) ,Image (mathematics) ,Automatic signal readout ,Software ,Digital image processing ,Materials Chemistry ,Isoniazid ,Electrical and Electronic Engineering ,Paper-based analytical devices ,Instrumentation ,Mathematical morphological image processing algorithm ,business.industry ,Metals and Alloys ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,0104 chemical sciences ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Outlier ,0210 nano-technology ,business ,Algorithm - Abstract
Although fabrication of colorimetric paper-based analytical devices (PADs) has drawn increasing attention recently, the signal readout method is still a crucial challenge on the way to practical exploitations. We herein introduce an integration of digital image processing with a model PAD for easing and improving the signal readout procedure. The colorimetric detection mechanism of PAD relies on in-situ induced yellowish silver nanoparticles via the interaction of silver ions, poly(vinyl alcohol), and ammonia with isoniazid. The observed color value is related with the concentration of isoniazid. The proposed algorithm is based on mathematical morphology recognition, and minimizes the errors arising from manual area selection. Besides, it allows the recognition of both circle and square shapes in 96-well plate and A4 size array designs. Since this algorithm automatically provides the blank-corrected numerical matrixes and image profiles of red, green and blue channels, further investigations such as outlier classification, construction of regression/prediction models and calculation of detection limit can be easily performed. Comparison of signal readout results of the developed algorithm with ImageJ software demonstrates significant improvements in analysis speed, reproducibility, accuracy and color values. Therefore, application of the proposed algorithm is promising as a robust technique for practical applications.
- Published
- 2020
32. Investigation of the effect of laser technology on the color of polyester fabrics
- Author
-
Atav, Rıza and Çolakoğlu, Özge
- Published
- 2024
- Full Text
- View/download PDF
33. Shearing Invariant Texture Descriptor from a Local Binary Pattern and its Application in Paper Fingerprinting.
- Author
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Wahdan, Omar, Nasrudin, Mohammad, and Omar, Khairuddin
- Subjects
HUMAN fingerprints ,TEXTURE analysis (Image processing) ,DIGITAL image processing ,DESCRIPTOR systems ,IMAGE databases - Abstract
In this paper, a Shearing Invariant Texture Descriptor (SITD) is proposed, which is a theoretically and computationally simple method based on the Rotation invariant Local Binary Pattern (Rot-LBP) descriptor. In real-world applications using flatbed scanners, such as paper texture fingerprinting, it's common for a sheet of paper to rotate during the image acquisition process. Because the rotation is usually not based on the paper's geometrical centre pivot, the produced image is deformed with irregular rotation resulting in shearing transforms. To tackle the shearing problem, the proposed SITD selects a few patterns from the conventional Rot-LBP to achieve either horizontal or vertical invariance. This paper presents the construction of the SITD operators and their performance in recognizing self-developed and standard image datasets, including real paper texture and Outex images, as well as those with distinctive shapes. The images were distorted with only a shearing transform. The self-developed images were distorted manually, while the standard images were distorted by software. The proposed description method achieved up to 100% correctly recognition rate in all the tested datasets based on the horizontal shear invariant operator. In addition to the accurate performance in all the conducted experiments, the operator significantly outperformed the Rot-LBP and another benchmark method, the Shearing Moment Invariant (SMI). The superiority of the descriptor in recognizing different types of patterns demonstrate its ability to be used in applications where the shearing transform is present. [ABSTRACT FROM AUTHOR]
- Published
- 2017
34. Rapid and cost-effective detection of perchlorate in water using paper-based analytical devices.
- Author
-
Kumar, Praveen, Kapoor, Ashish, and Raghunathan, MuthuKumar
- Subjects
PERCHLORATE removal (Water purification) ,WATER use ,DIGITAL images ,IMAGE processing ,DIGITAL image processing ,MICROFLUIDIC devices - Abstract
Perchlorate, a hazardous pollutant, is mainly found in untreated wastewater from urban and industrial sites and unregulated surface and groundwater sources. Effective monitoring of perchlorate in water is essential to mitigate its potential harmful effects. Microfluidic systems are evolving as promising technologies for detecting chemical contaminants in water due to their ability to enable rapid analysis with minimal consumption of reagents and samples. The integration of paper-based microfluidic devices with digital imaging has garnered enormous attention from the perspective of developing portable analytical techniques. Nevertheless, there is a need for further exploration to fully realize the potential of these systems. This study aimed to develop and evaluate the performance of a microfluidic paper-based device for measuring perchlorate levels in water samples. Smartphone-based digital imaging was integrated with microfluidic paper-based analytical device to establish a reliable colorimetric method for detecting perchlorate contamination. The results demonstrated successful quantitative estimation of perchlorate levels in water samples using a colorimetric assay based on the methylene blue-perchlorate reaction. Real-time, on-site colorimetric data were collected using a digital smartphone, and image processing methods were used to detect the occurrence of perchlorate in water samples from digital images. The developed approach yielded a broad linear response ranging from 4 to 12 µg/L (R2 = 0.97) for perchlorate detection, with a limit of detection of 3.41 µg/L and a limit of quantification of 10.34 µg/L. The findings underscore the effectiveness of colorimetric analysis and digital imaging for paper-based analytical devices. The limitations of this method include the capability to detect only a single analyte and the requirement for additional steps in image processing to obtain analytical results. Future developments should focus on designing devices for simultaneous detection of multiple contaminants and exploring automated methods of image analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
35. Image Reconstruction Modeling, Simulation and Experimental Study on Wood Fibrous Paper.
- Author
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Liu, Wangyu, Xie, Weigui, Dang, Yanping, Yan, Changyuan, and Tang, Aimin
- Subjects
- *
YOUNG'S modulus , *DIGITAL image processing , *SCANNING electron microscopes , *IMAGE reconstruction , *STRUCTURAL models , *SCANNING electron microscopy , *TENSILE tests , *ELASTIC modulus - Abstract
Modeling of paper fibrous network is necessary and meaningful. This paper presents a method for modeling and Young's modulus calculation of wood paper, based on the morphology of fibrous network. Sixteen groups of eucalyptus pulp paper sheets were prepared with different processing parameters. Samples were cut for Scanning Electron Microscope (SEM) images capture, with which structural models of fibrous networks were constructed through digital image processing technology. A reconstructing algorithm is proposed in this paper, which mainly includes "skeleton" extraction and simplification. Two-dimensional line-body fibrous models were established and served as represent volume element models, based on which tensile behavior was simulated in ABAQUS. Young's modulus of paper sheets was then calculated while tensile test was carried out. Porosity of paper sheets prepared is calculated by hypothetical formula, counted in SEM images and measured by medium saturation method. Porosity of structural models is attained through model-image conversion. Consistency of morphology between reconstructed models and SEM images is assessed. Comparison of properties between paper sheets and models majorly focuses on porosity, Young's modulus, and their relationship with paper-making process parameters. Patterns of process parameters' influence on paper's porosity and elastic modulus are analyzed on the premise that results in simulation and experiments agree to each other. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
36. Automatic Segmentation with Deep Learning in Radiotherapy.
- Author
-
Isaksson, Lars Johannes, Summers, Paul, Mastroleo, Federico, Marvaso, Giulia, Corrao, Giulia, Vincini, Maria Giulia, Zaffaroni, Mattia, Ceci, Francesco, Petralia, Giuseppe, Orecchia, Roberto, and Jereczek-Fossa, Barbara Alicja
- Subjects
DIGITAL image processing ,DEEP learning ,NATURAL language processing ,ARTIFICIAL intelligence ,AUTOMATION ,RADIOTHERAPY ,ARTIFICIAL neural networks ,ONCOLOGY - Abstract
Simple Summary: Automatic segmentation of organs and other regions of interest is a promising approach for reducing the workload of doctors in radiotherapeutic planning, but it can be hard for doctors and researchers to keep up with current developments. This review evaluates 807 papers and reveals trends, commonalities, and gaps in the existing corpus. A set of recommendations for conducting effective segmentation studies is also provided. This review provides a formal overview of current automatic segmentation studies that use deep learning in radiotherapy. It covers 807 published papers and includes multiple cancer sites, image types (CT/MRI/PET), and segmentation methods. We collect key statistics about the papers to uncover commonalities, trends, and methods, and identify areas where more research might be needed. Moreover, we analyzed the corpus by posing explicit questions aimed at providing high-quality and actionable insights, including: "What should researchers think about when starting a segmentation study?", "How can research practices in medical image segmentation be improved?", "What is missing from the current corpus?", and more. This allowed us to provide practical guidelines on how to conduct a good segmentation study in today's competitive environment that will be useful for future research within the field, regardless of the specific radiotherapeutic subfield. To aid in our analysis, we used the large language model ChatGPT to condense information. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
37. Developing a novel paper-based enzymatic biosensor assisted by digital image processing and first-order multivariate calibration for rapid determination of nitrate in food samples
- Author
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Ali R. Jalalvand, Héctor C. Goicoechea, and Majid Mahmoudi
- Subjects
General Chemical Engineering ,Image processing ,02 engineering and technology ,paper-based ,Nitrate reductase ,01 natural sciences ,purl.org/becyt/ford/1 [https] ,chemistry.chemical_compound ,Nitrate ,Griess test ,enzymatic biosensor ,nitrate ,Digital image processing ,purl.org/becyt/ford/1.4 [https] ,Nitrite ,Chromatography ,Filter paper ,010401 analytical chemistry ,Ciencias Químicas ,General Chemistry ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,chemistry ,food samples ,Química Analítica ,0210 nano-technology ,Biosensor ,CIENCIAS NATURALES Y EXACTAS - Abstract
For the first time, a novel analytical method based on a paper based enzymatic biosensor assisted by digital image processing and first-order multivariate calibration has been reported for rapid determination of nitrate in food samples. The platform of the biosensor includes a piece of Whatman filter paper impregnated with Griess reagent (3-nitroaniline, 1-naphthylamine and hydrochloric acid) and nitrate reductase. After dropping a distinct volume of nitrate solution onto the biosensor surface, nitrate reductase selectively reduces nitrate to nitrite and then the Griess reagent selectively reacts with nitrite to produce a red colored azo dye. Therefore, the color intensity of the produced azo dye is correlated with nitrate concentration. After image capture, the images were processed and digitized in the MATLAB environment by the use of an image processing toolbox and the vectors produced by the digital image processing step were used as inputs of the first-order multivariate calibration algorithms. Several multivariate calibration algorithms and pre-processing techniques have been used to build multivariate calibration models for verifying which technique offers the best predictions towards nitrate concentrations in synthetic samples and the best algorithm has been chosen for nitrate determination in potato, onion, carrot, cabbage and lettuce samples as real cases. Fil: Jalalvand, Ali R.. Kermanshah University Of Medical Sciences; Irán Fil: Mahmoudi, Majid. Kermanshah University Of Medical Sciences; Irán Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral; Argentina
- Published
- 2018
38. Computer Aided Feature Extraction in the Paper Version of Luria’s Alternating Series Test in Progressive Supranuclear Palsy
- Author
-
Dariusz Wieczorek, Jarosław Sławek, Magda Dąbrowska, Emilia J. Sitek, Paula Stępień, and Jacek Kawa
- Subjects
Computer science ,Speech recognition ,Feature extraction ,Paper version ,medicine.disease ,030227 psychiatry ,Progressive supranuclear palsy ,03 medical and health sciences ,Alternating series test ,0302 clinical medicine ,Digital image processing ,Computer-aided ,medicine ,In patient ,030217 neurology & neurosurgery - Abstract
Luria’s Alternating Series Test (AST) is a popular bedside graphomotor task used to assess set-shifting both in patients with focal brain damage and with neurodegenerative disease. Several approaches to automate its assessment are available, yet they require digitizers or other electronic devices. However, archived data from the past 60 years are stored only on paper. This pilot study concerns the extraction of the features from the paper version of AST using image processing algorithms.
- Published
- 2018
39. REALIZATION OF TEST PAPER SCORE CUMULATING SYSTEM BASED ON DIGITAL IMAGE PROCESSING
- Author
-
Simran Narang and Sapna Singh
- Subjects
business.industry ,Computer science ,Digital image processing ,business ,Realization (systems) ,Computer hardware ,Test (assessment) - Published
- 2020
40. The Hydrophobicity Class of Porcelain Insulator Detection Based on Digital Image Processing : A Paper Review
- Author
-
Chanchai Techawatcharapaikul and Poohthip Sonkaeo
- Subjects
Digital image ,Engineering drawing ,Class (computer programming) ,business.industry ,Computer science ,Deep learning ,Digital image processing ,System testing ,Image processing ,Artificial intelligence ,business ,Quality assurance ,Machine perception - Abstract
The experiment of quality assurance of polymeric outdoor insulators service life is necessary to be checked the class of wettability by using the digital image processing tools. The image processing can improve its pictorial information for human interpretation, render it more suitable for autonomous machine perception. This paper provides a survey of the recent technology and theoretical concept to explain the development of the Hydrophobicity Class (HC) of porcelain insulator. The hydrophobic properties of the housing material were found degraded to a different extent between field-aged insulators due to differences in material structure and pollution conditions. This paper contributes to the latest development of reviews relating to image processing for the implementation of porcelain insulator hydrophobic systems testing., and their related studies. We categorized the computer vision mainstream into 2 group such as Machine Learning Methods Applied to Digital Image Processing and Deep Learning Methods Applied to Digital Image Processing. Then compare pros/cons in each type of technique. We also provide brief explanation on the up-to-date information about the techniques and their performance.
- Published
- 2021
41. Chemometric challenges in development of paper-based analytical devices: Optimization and image processing.
- Author
-
Hamedpour, Vahid, Oliveri, Paolo, Leardi, Riccardo, and Citterio, Daniel
- Subjects
- *
SCIENTIFIC literature , *COLOR image processing , *IMAGE processing , *DIGITAL image processing , *COLORIMETRY , *PROCESS optimization - Abstract
Although microfluidic paper-based analytical devices (μPADs) get a lot of attention in the scientific literature, they rarely reach the level of commercialization. One possible reason for this is a lack of application of machine learning techniques supporting the design, optimization and fabrication of such devices. This work demonstrates the potential of two chemometric techniques including design of experiments (DoE) and digital image processing to support the production of μPADs. On the example of a simple colorimetric assay for isoniazid relying on the protonation equilibrium of methyl orange, the experimental conditions were optimized using a D-optimal design (DO) and the impact of multiple factors on the μPAD response was investigated. In addition, this work demonstrates the impact of automatic image processing on accelerating color value analysis and on minimizing errors caused by manual detection area selection. The employed algorithm is based on morphological recognition and allows the analysis of RGB (red, green, and blue) values in a repeatable way. In our belief, DoE and digital image processing methodologies are keys to overcome some of the remaining weaknesses in μPAD development to facilitate their future market entry. Image 1 • Optimization of device geometry and amount of assay reagent using D-optimal design. • Investigation of seven factors at three levels by only performing 44 trials. • MATLAB-based morphological recognition algorithm for signal readout. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
42. The CUPRAC-paper microzone plates as a simple and rapid method for total antioxidant capacity determination of plant extract.
- Author
-
Hidayat, Mochammad Amrun, Chassana, Rizka Illa, Ningsih, Indah Yulia, Yuwono, Mochammad, and Kuswandi, Bambang
- Subjects
- *
OXIDANT status , *PLANT extracts , *DIGITAL image processing , *PLANT capacity , *IMAGE processing - Abstract
The current work was aimed to develop the paper microzone plates (PµZP) as a scanometric system for determining the total antioxidant capacity of plant extracts. The PµZP was constructed by immobilizing CUPRAC reagent onto 70-well of patterned paper as a sensing zone for the scanometric detection system. The light blue-sensing zone showed a sensitive response to standard antioxidant (rutin) by forming light yellow color adducts which can be scanned and quantitatively measured by image processing program as a scanometric method. The sensor gave a notable signal at 8 min after rutin addition and presented a linear response in the concentration span of 1–10 mM. The developed method was shown to be reproducible (RSD < 3%) and accurate (98–101% recovery) for determining the TAC of plant extracts (as mM rutin equivalents) and showed strong correlation (r = 0.9887) with the standard CUPRAC method, suggesting that it can be applied for the simple and rapid method for TAC determination. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
43. Paper-based miniaturized immunosensor for naked eye ALP detection based on digital image colorimetry integrated with smartphone.
- Author
-
Mahato, Kuldeep and Chandra, Pranjal
- Subjects
- *
COLORIMETRY , *ALKALINE phosphatase , *DIGITAL image processing , *FOURIER transform infrared spectroscopy , *METALLOPROTEINS , *SMARTPHONES - Abstract
Abstract A lka l ine p hosphatase (ALP) is a metalloprotein found naturally in raw milk samples and is considered as an important biomarker in quality control of milk. Its easy, personalized, as well as instrument-less detection is important to ensure the pasteurization and its differentiation form raw milk. In view of such importance of APL, we have developed an office punching machine crafted paper biosensor for naked eye detection of ALP in milk samples. The quantitative estimation is done by d igital i mage c olorimetry (DIC) based technique integrated with smartphone. The sensor-probe was developed by the covalent immobilization of ALP antibody (anti-ALP) onto the functionalized paper surface. The fabrication of the biosensing probe was characterized using DIC, F ourier t ransform i nfrared s pectroscopy (FTIR), and a tomic f orce m icroscopy (AFM). The detection was based on immunocomplexation between the sensor-probe and ALP, which generates blue-green precipitate as an analytical signal by exploiting the catalytic activity of ALP towards 5- b romo-4- c hloro 3- i ndolyl p hosphate (BCIP). The dose dependent appearance of the blue-green complex was captured using smartphone camera and DIC was employed using R ed, G reen, and B lue (RGB) profiling system, where the maximum sensitivity was obtained for the red color channel. Based on the DIC analysis, a wide dynamic range for the ALP detection is obtained from 10 to 1000 U/mL with the detection limit of 0.87 (± 0.07) U/mL. The designed paper-based biosensor is successfully applied to detect ALP in commercial and raw milk samples. Interferences due to components present in the milk samples was evaluated and the long-term stability of the designed biosensor was examined. Based on the detection principle, a miniaturized kit [20.0 mm (L) × 20.0 mm (W) × 2.15 mm (H)] was developed and applied for the ALP detection to demonstrate the instrument-free direct in-kitchen applicability. Graphical abstract fx1 Highlights • DIC based novel biosensing kit for ALP detection in milk has been developed. • Requires merely 13 min to detect ALP, so it can be applied for quick onsite analysis. • A quantitative personalized analysis approach using smart phone. • Successfully tested the milk obtained from villages and commercially available milk samples. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
44. Paper-based headspace extraction combined with digital image analysis for trace determination of cyanide in water samples.
- Author
-
Saraji, Mohammad and Bagheri, Neda
- Subjects
- *
DIGITAL image processing , *CHLORAMINE-T , *ELECTRONIC data processing , *ANTIBACTERIAL agents , *ANTISEPTIC medication - Abstract
A simple, cost-effective, instrumental free and user-friendly analytical method based on the combination of paper-based headspace extraction and digital scanning image analysis was developed for the sensitive detection of cyanide in water and wastewater samples. The method relied on chloramine-T/pyridine-barbituric acid reaction, which is a well-known process for measuring cyanide in standard analytical methods. During the reaction, cyanide was converted to cyanogen chloride, which was extracted and collected on a paper impregnated with pyridine-barbituric acid. The color appeared on the paper was used to quantify the analyte using a scanning-assisted image processing software. Experimental parameters affecting the sensitivity of the method such as stirring rate, paper size, chloramine-T and barbituric acid concentration, equilibrium and extraction time were studied. Under optimal conditions, the calibration curve was linear in the range of 3.0–100 μg L −1 with the detection limit of 0.7 μg L −1 . The intra- and inter- day relative standard deviations of the method at 10 and 70 μg L −1 concentration levels were less than 6%. Analyte recovery in real samples was in the range of 69–111%. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
45. Paper-based Verification Design of Trade Business License in Indonesia.
- Author
-
Pizaini, Sugi Guritman, and Heru Sukoco
- Subjects
- *
COMPUTER access control , *TWO-dimensional bar codes , *BUSINESS licenses , *IDENTIFICATION , *DIGITAL image processing - Abstract
The trade business license certificate (SIUP) is a paper-based license to conduct trade businesses in Indonesia issued by the government. Until today, there is no mechanism for verifying the validity of document unless to verify it manually. The current paper presents a design that allows paperbased verification of the printed trade business license. It aims to provide the verification mechanism and ensure the document validity. Our design implemented digital signature with QR Code image that placed into the document and the digital certificate issued by a certification authority (CA). The proposed scheme generated 442 Bytes of data and version 14 of QR Code to scan easily by a reader device. The experimental result indicates that our scheme is easy and feasible to implement in Indonesia with guaranteed the document integrity, authentication, and nonrepudiation. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
46. Review Paper on Leaf Disease Detection using Digital Image Processing with SVM Classifier
- Author
-
Sagar Gaikwad and Sagar Shinde
- Subjects
Svm classifier ,Computer science ,business.industry ,Digital image processing ,Leaf disease ,Pattern recognition ,Artificial intelligence ,business - Published
- 2019
47. Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles.
- Author
-
Parker, William, Jaremko, Jacob L., Cicero, Mark, Azar, Marleine, El-Emam, Khaled, Gray, Bruce G., Hurrell, Casey, Lavoie-Cardinal, Flavie, Desjardins, Benoit, Lum, Andrea, Sheremeta, Lori, Lee, Emil, Reinhold, Caroline, Tang, An, and Bromwich, Rebecca
- Subjects
- *
RIGHT of privacy , *MEDICAL ethics laws , *DATABASE management standards , *ARTIFICIAL intelligence , *DATA encryption , *HEALTH , *IDENTIFICATION , *DIGITAL image processing , *INFORMATION resources management , *PATIENTS , *RESPONSIBILITY , *INFORMATION resources , *ACCESS to information - Abstract
The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboration between different sites or data transfer to a third party, precautions are required to safeguard patient privacy. Safety measures are required to prevent inadvertent access to and transfer of identifiable information. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI Ethical and Legal standing committee with the mandate to guide the medical imaging community in terms of best practices in data management, access to health care data, de-identification, and accountability practices. Part 1 of this article will inform CAR members on principles of de-identification, pseudonymization, encryption, direct and indirect identifiers, k-anonymization, risks of reidentification, implementations, data set release models, and validation of AI algorithms, with a view to developing appropriate standards to safeguard patient information effectively. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
48. Numerical Data Extraction from ECG Paper Recording Using Image Processing Technique
- Author
-
Mohiuddin Ahmad and Tahmida Tabassum
- Subjects
medicine.diagnostic_test ,Computer science ,business.industry ,020209 energy ,Digital data ,Feature extraction ,Image processing ,Pattern recognition ,02 engineering and technology ,Data modeling ,Data extraction ,Digital image processing ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,cardiovascular diseases ,Artificial intelligence ,business ,Electrocardiography ,Normal Sinus Rhythm - Abstract
Electrocardiogram (ECG) represents the electrical activity of the heart which is used for the diagnosis purpose by the doctors. This paper proposed a method of converting printed ECG data into digital electrocardiogram (ECG) signals. We have developed a system that converts scanned ECG stripped taken from MIT-BIH Normal Sinus Rhythm/ Arrhythmia Database and also data from real patients’ records taken from hospitals into samples as text using digital image processing techniques. Digital data obtained using our proposed model retains all the ECG information of the raw data with precision. The proposed method is reliable for diagnosing ECG based analysis and different cardiac diseases.
- Published
- 2020
49. Computer Vision and Image Processing: A Paper Review
- Author
-
Thomas Lucas and Victor Wiley
- Subjects
Computer science ,Cognitive neuroscience of visual object recognition ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,020206 networking & telecommunications ,Image processing ,02 engineering and technology ,Field (computer science) ,lcsh:QA75.5-76.95 ,Computer graphics ,Human–computer interaction ,Application domain ,Pattern recognition (psychology) ,Digital image processing ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,lcsh:Electronic computers. Computer science ,computer vision image processing digital image ,Raw data - Abstract
Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracted many scholars to integrate with many disciplines and fields. This paper provide a survey of the recent technologies and theoretical concept explaining the development of computer vision especially related to image processing using different areas of their field application. Computer vision helps scholars to analyze images and video to obtain necessary information, understand information on events or descriptions, and scenic pattern. It used method of multi-range application domain with massive data analysis. This paper provides contribution of recent development on reviews related to computer vision, image processing, and their related studies. We categorized the computer vision mainstream into four group e.g., image processing, object recognition, and machine learning. We also provide brief explanation on the up-to-date information about the techniques and their performance.
- Published
- 2018
50. Automatic Examination Paper Scores Calculation and Grades Analysis Based on OpenCV
- Author
-
Zhang, Xin-Yu, Sun, Zhan-Li, Liu, Mengya, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yu, Shiqi, editor, Zhang, Zhaoxiang, editor, Yuen, Pong C., editor, Han, Junwei, editor, Tan, Tieniu, editor, Guo, Yike, editor, Lai, Jianhuang, editor, and Zhang, Jianguo, editor
- Published
- 2022
- Full Text
- View/download PDF
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