280,068 results
Search Results
2. Smartphone-based image analysis coupled to paper-based colorimetric devices
- Author
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Sanghyo Kim, SeJin Kim, Hyung-Tae Ha, and Dami Kim
- Subjects
010302 applied physics ,business.industry ,Computer science ,Color correction ,Detector ,General Physics and Astronomy ,02 engineering and technology ,Paper based ,021001 nanoscience & nanotechnology ,Chip ,01 natural sciences ,Image (mathematics) ,Set (abstract data type) ,Transformation (function) ,ComputerSystemsOrganization_MISCELLANEOUS ,0103 physical sciences ,Convergence (routing) ,General Materials Science ,Computer vision ,Artificial intelligence ,0210 nano-technology ,business - Abstract
Advancements in technology have led to the use of smartphones as biosensor detectors. However, it is difficult to obtain stable color information of colorimetric sensors using multiple smartphones owing to different light conditions and image correction operations. In this study, we attempted color detection of the colorimetric paper chip using smartphone-embedded light-emitting diode (LED) and simple transformation calculation. This method enables the acquisition of stable color information using different smartphones by reducing the influence of external light sources. Moreover, we studied characteristics such as convergence and distinction of detection result details by the manufacturers and smartphones. These findings suggested the necessity of classification criteria for the use of smartphones to achieve optimal detection. In addition, white and black references were used to set the standard for color correction of various light sources. Based on our results, we conclude that this approach presents the possibility of smartphone-based colorimetric detection in practical applications.
- Published
- 2020
3. 49‐4: Late‐News Paper: Prototyping of Practical e‐Tile and Estimation of its Image Impression from Distant Observers
- Author
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Makoto Omodani, Hirohito Shibata, and Taiga Masuyama
- Subjects
Estimation ,Computer science ,business.industry ,visual_art ,visual_art.visual_art_medium ,Computer vision ,Large format ,Tile ,Artificial intelligence ,business ,Paper prototyping ,Image (mathematics) ,Impression - Published
- 2020
4. 60‐3: Invited Paper: Machine Learning Approaches to Active Stylus for Capacitive Touch Screen Panel Applications
- Author
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Seungjun Park, Hyoungsik Nam, and Ki-Hyuk Seol
- Subjects
Support vector machine ,Paper machine ,business.product_category ,business.industry ,Computer science ,Capacitive sensing ,Anomaly detection ,Computer vision ,Artificial intelligence ,Stylus ,business - Published
- 2020
5. Research on Color Uniformity and Seam Detection of Standard Test Paper Based on Machine Vision
- Author
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Fei Zheng, Xia Dong, and Zewei Wang
- Subjects
Computer science ,business.industry ,Machine vision ,Texture (cosmology) ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Paper based ,Convolution ,Compensation (engineering) ,Robustness (computer science) ,Standard test ,Computer vision ,Artificial intelligence ,business ,Intensity (heat transfer) ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
For the detection of product color uniformity and seam texture defects in the production process of test paper, detection methods are proposed respectively. For the detection of the color uniformity, a uniformity detection method based on dynamic light correction is proposed. The illumination correction image is used for color dynamic compensation of the test paper image to solve the influence of uneven illumination on the test paper. For the detection of texture defects such as seams, a texture defect detection method based on gray gradient aggregation intensity is proposed. This method uses one-way Gaussian convolution to strengthen features, and then calculates the gradient, divides the region and calculates the gradient extremum aggregation strength to judge texture defects, which can quickly and efficiently find seam defects. The experimental results show that the above methods have obvious effects on the color uniformity and seam detection of the test paper. The color uniformity accuracy rate is 96%, the seam detection accuracy rate is 97%. The total detection time of a single test paper is about 90ms. The algorithm is real-time and accurate, and can be used in actual production detection.
- Published
- 2021
6. Color Assessment of Paper-Based Color 3D Prints Using Layer-Specific Color 3D Test Charts
- Author
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Jieni Tian, Guangxue Chen, Danyang Yao, and Jiangping Yuan
- Subjects
Color quality ,Colored ,Chart ,Computer science ,business.industry ,Chromatic aberration ,Color reproduction ,3D printing ,Computer vision ,Paper based ,Artificial intelligence ,Layer (object-oriented design) ,business - Abstract
Color 3D printing is an important advancement in 3D printing for lifelike personalization, but color reproduction in paper-based color 3D printers suffers from accuracy issues. In this study, 5 color 3D test charts containing 6 thickness-increasing colored stairs with 13 specific colored bars were developed based on a thickness tunable printed layers design. At the same time, color differences and surface images of tested charts with specific layers were both captured under standard conditions. Results demonstrated that the chromatic aberrations and Mean-SSIM values of color bars showed a slight downward trend as the stair thickness increases, while the linear correlations were not obvious. Combined with color SSIM maps analysis, color samples with small differences in color quality can be clearly detected to analyze the color reproduction performance of paper-based color 3D printers. This research provides new ideas for the development of powerful color 3D test chart to check the color reproduction performance of paper-based 3D printers and predict paper-based color 3D printing.
- Published
- 2021
7. Vision‐based facial oil blotting paper counting
- Author
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Kazuaki Ito, Takayoshi Yamada, Junya Sato, and Takuya Akashi
- Subjects
Vision based ,business.industry ,Computer science ,law ,Genetic algorithm ,Canny edge detector ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,Blotting paper ,business ,Hough transform ,law.invention - Published
- 2019
8. Apply of digital speckle projection in measurement of paper sheet thickness
- Author
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Li Weixian, Wu Fan, Zhu Junyi, Dong Mingli, Zhang Yumeng, Sha Di, and WU Sijin
- Subjects
Paper sheet ,Speckle pattern ,business.industry ,Computer science ,Computer vision ,Artificial intelligence ,Projection (set theory) ,business ,Atomic and Molecular Physics, and Optics - Published
- 2019
9. ECG Paper Record Digitization and Diagnosis Using Deep Learning
- Author
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Vruddhi Shah, Sharath Dinesh, Ninad Mehendale, Siddharth Mishra, Darsh Parmar, Gaurav Khatwani, Prathamesh Daphal, Darshan Sapariya, and Rupali Patil
- Subjects
Computer science ,0206 medical engineering ,Biomedical Engineering ,Image processing ,02 engineering and technology ,Data_CODINGANDINFORMATIONTHEORY ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Diagnosis ,medicine ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,Computer vision ,Paper ECG ,Digitization ,Left bundle branch block ,business.industry ,Deep learning ,Pattern recognition ,General Medicine ,Right bundle branch block ,medicine.disease ,020601 biomedical engineering ,ComputingMethodologies_PATTERNRECOGNITION ,Original Article ,Artificial intelligence ,Ecg signal ,business - Abstract
Purpose Electrocardiogram (ECG) is one of the most essential tools for detecting heart problems. Till today most of the ECG records are available in paper form. It can be challenging and time-consuming to manually assess the ECG paper records. Hence, automated diagnosis and analysis are possible if we digitize such paper ECG records. Methods The proposed work aims to convert ECG paper records into a 1-D signal and generate an accurate diagnosis of heart-related problems using deep learning. Camera-captured ECG images or scanned ECG paper records are used for the proposed work. Effective pre-processing techniques are used for the removal of shadow from the images. A deep learning model is used to get a threshold value that separates ECG signal from its background and after applying various image processing techniques threshold ECG image gets converted into digital ECG. These digitized 1-D ECG signals are then passed to another deep learning model for the automated diagnosis of heart diseases into different classes such as ST-segment elevation myocardial infarction (STEMI), Left Bundle Branch Block (LBBB), Right Bundle Branch Block (RBBB), and T-wave abnormality. Results The accuracy of deep learning-based binarization is 97%. Further deep learning-based diagnosis approach of such digitized paper ECG records was having an accuracy of 94.4%. Conclusions The digitized ECG signals can be useful to various research organizations because the trends in heart problems can be determined and diagnosed from preserved paper ECG records. This approach can be easily implemented in areas where such expertise is not available. Supplementary Information The online version contains supplementary material available at 10.1007/s40846-021-00632-0.
- Published
- 2020
10. Stone, Paper, Scissors Mini-Game for AI Pet Robot
- Author
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Aditya Aspat, Abhishek Ghoshal, and Elton Lemos
- Subjects
Background subtraction ,Identification (information) ,Action (philosophy) ,Computer science ,Simple (abstract algebra) ,business.industry ,Robot ,Computer vision ,Emotion recognition ,Artificial intelligence ,business ,GeneralLiterature_MISCELLANEOUS - Abstract
The Artificial Intelligence (AI) Pet Robot is a combination of various fields of computer science. This paper showcases the various functionalities of our AI Pet. Most of the functionalities showcased use the immage processing modules made available through OpenCV. The pet robot has various features such as emotion recognition, follow routine, mini-game etc. This paper discusses the mini-game aspect of the robot. The game has been developed by using VGG16 convolutional network for identification of the action performed by the user. To improve the accuracy we have made use of background subtraction which gives removes all the unwanted objects from the background and gives a simple cutout of the users hand.
- Published
- 2021
11. 7.1: Invited Paper: Establishment and Simulation Optimization of Optical Fingerprint Recognition Structure in LCD Screen
- Author
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Wenqi Zhou, Yang Yan, Jianmou Huang, Hailiang Wang, Yan Lin, Junyi Li, and Zhou Ting
- Subjects
Simulation optimization ,Structure (mathematical logic) ,Liquid-crystal display ,Computer science ,law ,business.industry ,Computer vision ,Artificial intelligence ,Fingerprint recognition ,business ,Interactive displays ,law.invention - Published
- 2021
12. 26.1: Invited Paper: Display Evaluation for Advanced Human‐Robot Interaction
- Author
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Etienne Charrier, Franziska Babel, Siegfried Hochdorfer, and Karlheinz Blankenbach
- Subjects
Liquid-crystal display ,law ,Computer science ,business.industry ,Optical measurements ,Computer vision ,Artificial intelligence ,Projection (set theory) ,business ,Human–robot interaction ,law.invention - Published
- 2021
13. My position on your position paper
- Author
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Nathalie Heinich and HEINICH, Nathalie
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Position (vector) ,Computer science ,business.industry ,Position paper ,Computer vision ,[SHS] Humanities and Social Sciences ,Artificial intelligence ,business - Published
- 2020
14. A Comparative Study of Camouflage Printing Color Matching Based on Monitor and Paper Card
- Author
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Qing-zhu Yi, Yu-wen Wang, Guang-xin Wu, Jing-bin Zhang, Ni Wang, and Yi Ding
- Subjects
business.product_category ,Materials science ,Polymers and Plastics ,General Chemical Engineering ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Color reproduction ,02 engineering and technology ,Color matching ,010402 general chemistry ,Color management ,01 natural sciences ,law.invention ,Color consistency ,law ,Computer vision ,ComputingMethodologies_COMPUTERGRAPHICS ,Color difference ,business.industry ,Color correction ,General Chemistry ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Camouflage ,Artificial intelligence ,Computer monitor ,0210 nano-technology ,business - Abstract
To improve the accuracy of color reproduction for camouflage printing, a new color matching method, named monitor-paper-fabric, was proposed by importing color management into textiles, which matched the printing pastes according to the color of the paper card printed by the ink-jet printer after color management. Not like the traditional color matching method, it matched the printing pastes according to the color from computer monitor after color correction. Two color matching methods were analyzed by comparing the color difference. It was found that the “monitor-paper-fabric” color matching method could be considered as a convenient and feasible color matching method. Most color differences between the monitor and the fabric in the camouflage pattern were reduced to lower than 4, except for color blocks 5 and 6. In addition, the color differences of six color blocks between the paper and the fabric were all less than 3.5, and were lower than those between the monitor and the fabric. The color consistency between the paper and the fabric was better than that between the monitor and the fabric.
- Published
- 2021
15. On Microstructure Estimation Using Flatbed Scanners for Paper Surface-Based Authentication
- Author
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Chau-Wai Wong and Runze Liu
- Subjects
021110 strategic, defence & security studies ,Authentication ,Computer Networks and Communications ,Computer science ,business.industry ,Feature extraction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,0211 other engineering and technologies ,Word error rate ,02 engineering and technology ,Fingerprint ,Feature (computer vision) ,Heightmap ,Key (cryptography) ,Computer vision ,Specular reflection ,Artificial intelligence ,Safety, Risk, Reliability and Quality ,business - Abstract
Paper surfaces under the microscopic view are observed to be formed by intertwisted wood fibers. Such structures of paper surfaces are unique from one location to another and are almost impossible to duplicate. Previous work used microscopic surface normals to characterize such intrinsic structures as a “fingerprint” of paper for security and forensic applications. In this work, we examine several key research questions of feature extraction in both scientific and engineering aspects to facilitate the deployment of paper surface-based authentication when flatbed scanners are used as the acquisition device. We analytically show that, under the unique optical setup of flatbed scanners, the specular reflection does not play a role in norm map estimation. We verify, using a larger dataset than prior work, that the scanner-acquired norm maps, although blurred, are consistent with those measured by confocal microscopes. We confirm that, when choosing an authentication feature, high spatial-frequency subbands of the heightmap are more powerful than the norm map. Finally, we show that it is possible to empirically calculate the physical dimensions of the paper patch needed to achieve a certain authentication performance in equal error rate (EER). We analytically show that log(EER) is decreasing linearly in the edge length of a paper patch.
- Published
- 2021
16. 42‐2: Distinguished Paper: Effects of Luminance Contrast and Font Size on Dual‐Plane HUD Legibility ('The Double 007 Rule for HUDs')
- Author
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Omer Tsimhoni and Wan Jingyan
- Subjects
Head-up display ,business.industry ,media_common.quotation_subject ,Legibility ,Luminance ,Dual plane ,law.invention ,law ,Contrast (vision) ,Computer vision ,Artificial intelligence ,Psychology ,business ,media_common - Published
- 2021
17. 13‐1: Invited Paper: Color Quality for Large MicroLED TV
- Author
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YungKyung Park and Daeun Park
- Subjects
Brightness ,Color quality ,business.industry ,law ,Computer science ,MicroLED ,CLARITY ,Computer vision ,Artificial intelligence ,business ,law.invention - Published
- 2021
18. 13‐3: Invited Paper: Video Frame Interpolation via Structure Motion based Iterative Feature Fusion
- Author
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Zhendong Hong, Xi Li, Huimin Ma, Meng Cao, Tang Yingying, Jiulong Shan, and Scott Johnston
- Subjects
Feature fusion ,Computer science ,business.industry ,Structure (category theory) ,Computer vision ,Artificial intelligence ,Motion interpolation ,business ,Motion (physics) - Published
- 2021
19. 29‐2: Student Paper: Gaze‐Contingent Light Field Rendering for Near‐Eye Displays
- Author
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Chen Gao, Haifeng Li, Yifan Peng, and Xu Liu
- Subjects
Light field rendering ,business.industry ,Computer science ,Eye tracking ,Computer vision ,Artificial intelligence ,business ,Gaze ,Light field - Published
- 2021
20. 16‐4: Invited Paper: Region‐Based Machine Learning for OLED Mura Defects Detection
- Author
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Janghwan Lee
- Subjects
Mura ,Computer science ,business.industry ,OLED ,Computer vision ,Artificial intelligence ,business - Published
- 2021
21. Sensitive and reliable paper-based glucose sensing mechanisms with smartphone readout using the L*a*b* color space
- Author
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Deniz Baş
- Subjects
Detection limit ,Computer science ,business.industry ,General Chemical Engineering ,010401 analytical chemistry ,General Engineering ,Sour cherry ,Analytical chemistry ,Glucose sensing ,Linearity ,02 engineering and technology ,Paper based ,Color space ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Analytical Chemistry ,Computer vision ,Sensitivity (control systems) ,Artificial intelligence ,0210 nano-technology ,business ,Reliability (statistics) - Abstract
Paper-based assay platforms play an important role among rapid test methods. It is essential to combine these promising platforms with smartphones which make on-site analysis possible without using external image processors. In this study, the performance of paper-based glucose assay methods was investigated by using the L*a*b* color space as the quantitative measurement. For this purpose, two glucose assay methods, namely quinone and iodine, were compared in terms of linearity, limit of detection (LOD) and reliability. A lower LOD and higher sensitivity were obtained by the quinone method while the iodine method may lead to large indeterminate errors due to the formation of non-uniform color distribution. Moreover, color measurement strategies were tested by using both computer software and mobile applications. For this purpose, scanned images were processed on a computer and the results were compared with smartphone based color measurements. The lowest LOD value of 0.38 mM glucose was obtained with the mobile application running on an Android operating system. Finally, glucose assay was performed on sour cherry nectar and honey and the results were compared with the spectrophotometric glucose assay. Using smartphones and the L*a*b* color space appears to be promising for reliable paper-based sensing as they are totally portable.
- Published
- 2017
22. 7.3: Invited Paper: Integration of large‐area optical imagers for biometric recognition and touch in displays
- Author
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Richard van de Ketterij, Tung Huei Ke, Auke Jisk Kronemeijer, Santhosh Shanmugam, Gerwin H. Gelinck, Ilias Katsouras, Eric Meulenkamp, Daniel Tordera, Ezequiel Delvitto, Leslye Ugalde Lopez, Luis Moreno Hagelsieb, Florian De Roose, H. B. Akkerman, Pawel E. Malinowski, Albert J. J. M. van Breemen, and Bart Peeters
- Subjects
Biometrics ,Computer science ,business.industry ,Computer vision ,Artificial intelligence ,Fingerprint recognition ,business - Published
- 2021
23. A Survey Paper on System Frameworks for Image Processing
- Author
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Vishwajit Gaikwad
- Subjects
Computer science ,business.industry ,Computer vision ,Image processing ,Artificial intelligence ,business - Published
- 2021
24. A paper based colorimeter using smartphone light sensor
- Author
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Bebeh Wahid Nuryadin, U Umairoh, and Ade Yeti Nuryantini
- Subjects
Computer science ,business.industry ,Colorimeter ,Photodetector ,Computer vision ,Artificial intelligence ,Paper based ,business - Abstract
A paper-based colorimeter for absorbance and concentration measurement of the food colouring dye is proposed. The paper-based colorimeter system consists of a white LED as light source, paper-based cuvette holder, and smartphone light sensor. The paper-based colorimeter with smartphone light sensor is low-cost, mobile and real-time for the detection of colouring dye concentration. The detection response of the paper-based colorimeter system was found to be linear with the colouring dye concentration in the range from 0 to 0.025 g/mL with a correlation coefficient (R2) 0.89±0.04. The experimental results show that this paper-based colorimeter system is highly sensitive and have a potential application, from student labs to small industries.
- Published
- 2021
25. Image processing based quality control of coated paper folding
- Author
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László Koltai, Sandra Dedijer, Nemanja Kašiković, Gojko Vladić, Magdolna Pál, Ivana Jurič, and Dragoljub Novaković
- Subjects
0209 industrial biotechnology ,Coated paper ,Engineering ,business.industry ,Applied Mathematics ,Feature extraction ,Image processing ,02 engineering and technology ,Production efficiency ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Digital image ,020901 industrial engineering & automation ,Digital image analysis ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,0210 nano-technology ,business ,Instrumentation ,Digitization - Abstract
During the folding process substrates are exposed to high-localized stresses, which in the case of coated papers and boards, can lead to decreased aesthetic features or complete loss of functionality. Production efficiency of the folding process could be improved by an automated, computer vision-based inspection system. For such a task, different existing computer-aided fold-crack evaluation approaches were analyzed. A detailed research was conducted to propose an image processing based fold cracking assessment via finding optimal sample preparation and digitization techniques and developing an algorithm for the digital image analysis and feature extraction. The analysis of the applicability of different sample preparation and digitization parameters, as well as the proposed digital image feature, was done by correlation evaluation, one-way analysis of variance (ANOVA) and corresponding post hoc tests. The results indicated that the developed algorithm fulfils the set requirements and the proposed feature of digitized samples faithfully describes the analyzed fold-cracks.
- Published
- 2017
26. A Survey Paper on Image forgery detection Using Pseudo Zernike Moment
- Author
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Brijesh Patel and Sheshang Degadwala
- Subjects
Computer science ,Zernike polynomials ,business.industry ,020206 networking & telecommunications ,02 engineering and technology ,Moment (mathematics) ,symbols.namesake ,0202 electrical engineering, electronic engineering, information engineering ,symbols ,Image forgery ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,business - Abstract
Photographs are taken as valid evidences in various scenarios of our day to day life. Because of the developments in the field of Image Processing, altering images according to ones need is not a difficult task. Techniques of Image Forensics play its crucial role at this juncture. One of the mostly found types of image tampering is Copy-Move forgery. A copy-move forgery is performed by copying a region in an image and pasting it on another region in the same image, mostly after some form of post-processing like rotation, scaling, blurring, noise addition, JPEG compression etc. Two types of copy-move forgery detection techniques exist in literature. They are the Block based methods and Key-point based methods. Both the methods have their own advantages and limitations. This paper presents a survey on the recent developments in block based methods. As forgeries have become popular, the importance of forgery detection is much increased. Copy-move forgery, one of the most commonly used methods, copies a part of the image and pastes it into another part of the image. In this paper, we propose a detection method of copy-move forgery that localizes duplicated regions using Zernike moments. Since the magnitude of Zernike moments is algebraically invariant against rotation, the proposed method can detect a forged region even though it is rotated. Our scheme is also resilient to the intentional distortions such as additive white Gaussian noise, JPEG compression, and blurring. Experimental results demonstrate that the proposed scheme is appropriate to identify the forged region by copy-rotate-move forgery.
- Published
- 2020
27. Automated sorting of recycled paper using smart image processing
- Author
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Mohammad Osiur Rahman, Hassan Basri, and Aini Hussain
- Subjects
0209 industrial biotechnology ,Computer science ,business.industry ,Sorting ,Image processing ,02 engineering and technology ,Computer Science Applications ,020901 industrial engineering & automation ,Control and Systems Engineering ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,business - Abstract
Because of the cost and complexity of implementing an optical paper sorting system, the demand for an intelligent system for waste paper sorting has increased. This research focused on the development of a smart intelligent system (SIS) for recyclable waste paper sorting. The basis for selecting the regions of interests (ROIs) is the margin area of a paper object image because almost all printed documents keep the margin area intact. The paper grade is identified using a proximity search. The SIS with the HSI colour space offered maximum success rates of 99 %, 82 % and 89 %, while with the RGB model, the classification success rates were 94 %, 93 % and 98 % for white paper, old newsprint paper and old corrugated cardboard, respectively. The SIS is clearly superior to other prevailing techniques because of the faster decision making and lower cost of implementation.
- Published
- 2020
28. Image-Based Quantitative Analysis of Foxing Stains on Old Printed Paper Documents
- Author
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Gyuho Kim, Jung Gon Kim, Kitaek Kang, and Woo Sik Yoo
- Subjects
Archeology ,Image quality ,Computer science ,Materials Science (miscellaneous) ,Conservation ,Image processing software ,01 natural sciences ,foxing stains ,image analysis ,parasitic diseases ,0601 history and archaeology ,Computer vision ,lcsh:CC1-960 ,old paper document ,060102 archaeology ,Pixel ,quantitative analysis ,010405 organic chemistry ,business.industry ,Foxing ,Color analysis ,06 humanities and the arts ,0104 chemical sciences ,Quantitative analysis (finance) ,software development ,RGB color model ,lcsh:Archaeology ,Artificial intelligence ,business ,Image based - Abstract
We studied the feasibility of image-based quantitative analysis of foxing stains on collections of old (16th&ndash, 20th century) European books stored in the Rare Book Library of the Seoul National University in Korea. We were able to quantitatively determine the foxing affected areas on books from their photographs using a newly developed image processing software (PicMan) including cultural property characterization applications, specifically. Dimensional and color analysis of photographs were successfully done quantitatively. Histograms of RGB (red, green, blue) pixels of photographs clearly showed the change in color distribution of foxing stains compared to the other areas of the photographs. Several sample images of quantitative measurement of foxing stains and virtually restored images were generated to provide easy visual inspection and comparison between restored images and the original photographs. Image quality, resolution, and digital file format requirements for quantitative analysis are described. Image-based quantitative analysis of foxing stains on paper documents are found to be very promising towards automation for objective characterization of photographs of cultural properties. This technique can be used to create a cultural property digital database. Quantitative and statistical analysis techniques can be introduced to monitor the effect of storage and conservation environment on the cultural properties.
- Published
- 2019
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29. Short Paper: Application of Noisy Attacks on Image Steganography
- Author
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Tahar Kechadi and Ayidh Alharbi
- Subjects
Steganography ,Computer science ,business.industry ,Short paper ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Covert communication ,Data_CODINGANDINFORMATIONTHEORY ,Image steganography ,Distraction ,Information hiding ,Embedding ,Computer vision ,Artificial intelligence ,business - Abstract
The data hiding techniques have attracted a lot of attention in recent years and mainly with the intensive growth of multimedia and its possibility for covert communication. Steganography is one of the information hiding methods to confirm the ability of a multimedia carrier to exchange secret information between two end-points so that it is imperceptible, thus avoiding the detection of hidden information. The secret information can be embedded in several multimedia carriers, such as image or audio or video files. It works by embedding the message in a source cover which may make the observer feel it is the source cover itself. The type of multimedia carrier here is an image. However, this technique suffers from the problem of the carrier distortion. In this paper, we investigate the impact of some distortion types on the carrier images and discuss the possibility of using distraction images in steganography to protect the stego-image. Furthermore, we highlight the current challenges of image steganography. The experimentations show very interesting results.
- Published
- 2019
30. [Paper] HEVC-based Light-field Coding using Basis Images and Frame Reordering
- Author
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Kota Imaeda, Yukihiro Bandoh, Hideaki Kimata, Keita Takahashi, Seishi Takamura, and Toshiaki Fujii
- Subjects
Basis (linear algebra) ,business.industry ,Computer science ,Compression (functional analysis) ,Signal Processing ,Frame (networking) ,Media Technology ,Computer vision ,Artificial intelligence ,business ,Computer Graphics and Computer-Aided Design ,Light field ,Coding (social sciences) - Published
- 2021
31. [Paper] Sports Camera Calibration using Flexible Intersection Selection and Refinement
- Author
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Ryosuke Watanabe, Tomoaki Konno, Sei Naito, Keisuke Nonaka, and Hiroki Tsurusaki
- Subjects
Intersection ,Computer science ,business.industry ,Signal Processing ,Media Technology ,Computer vision ,Artificial intelligence ,business ,Computer Graphics and Computer-Aided Design ,Selection (genetic algorithm) ,Camera resectioning - Published
- 2021
32. [Paper] Development of System to Classify Speckle Images for Visual Inspection of Cutlery
- Author
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Ryosuke Harakawa, Masahiro Iwahashi, Tadaaki Isobe, and Yuya Takimoto
- Subjects
Contextual image classification ,Computer science ,Machine vision ,business.industry ,Feature extraction ,Cutlery ,Computer Graphics and Computer-Aided Design ,Visual inspection ,Speckle pattern ,Signal Processing ,Media Technology ,Computer vision ,Artificial intelligence ,business - Published
- 2021
33. [Invite Paper] Functional Imaging with Multi-tap CMOS Pixels
- Author
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Keiichiro Kagawa
- Subjects
Functional imaging ,Cmos pixels ,Computer science ,business.industry ,Wide field imaging ,Signal Processing ,Media Technology ,Computer vision ,Artificial intelligence ,business ,Computer Graphics and Computer-Aided Design ,Active illumination ,Structured light - Published
- 2021
34. Preparation of Papers for IFAC Conferences & Symposia: Computer Vision-enabled Human-Cyber-Physical Workstation for Proactive Ergonomic Risks Mitigation
- Author
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George Q. Huang, Danqi Yan, Xuefeng Zhao, Yiming Rong, Yuquan Leng, Daqiang Guo, and Shiquan Ling
- Subjects
Development environment ,Functional validation ,Ergonomic risk ,Adaptive control ,Workstation ,business.industry ,Computer science ,media_common.quotation_subject ,Cyber-physical system ,Human factors and ergonomics ,law.invention ,Control and Systems Engineering ,law ,Quality (business) ,Computer vision ,Artificial intelligence ,business ,media_common - Abstract
In production, poor ergonomic environments not only lead to increased workloads and health hazards for employees but also tend to reduce efficiency and quality. Recently, the human-cyber-physical (HCP) system has been proposed and widely studies to meet human capabilities and limitations. However, most existing frameworks are still not adaptive enough to integrate humans into a smart production environment due to a lack of real-time individual human factors digitalization. This research proposes an HCP workstation model for comprehensive assembly resources digitalization and autonomous interaction by CPS enabling technologies. Based on this, an adaptive control system has been developed for proactive ergonomic risk mitigation. Computer vision is deployed for real-time individual ergonomic evaluation and a prototype has been set up for functional validation.
- Published
- 2021
35. [Paper] CFA Handling and Quality Analysis for Compressive Light Field Camera
- Author
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Yasutaka Inagaki, Hajime Nagahara, Kohei Sakai, Toshiaki Fujii, and Keita Takahashi
- Subjects
Light-field camera ,Computer science ,business.industry ,Computer Graphics and Computer-Aided Design ,Convolutional neural network ,law.invention ,Computational photography ,Quality (physics) ,law ,Signal Processing ,Media Technology ,Computer vision ,Artificial intelligence ,business ,Light field - Published
- 2021
36. [Paper] Noise Bias Compensation for Color Images after Tone Mapping
- Author
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Ryosuke Harakawa, Sayaka Minewaki, Yo Umeki, and Masahiro Iwahashi
- Subjects
Noise ,business.industry ,Computer science ,Noise reduction ,Signal Processing ,Bayesian probability ,Media Technology ,Computer vision ,Artificial intelligence ,Tone mapping ,business ,Computer Graphics and Computer-Aided Design ,Compensation (engineering) - Published
- 2021
37. Reproducibility Companion Paper
- Author
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Thomas Schierl, Cornelius Hellge, Marc A. Kastner, Sebastian Bosse, Dimitri Podborski, Jan Zahálka, and Serhan Gül
- Subjects
Reproducibility ,business.industry ,Computer science ,Latency (audio) ,Head (vessel) ,Computer vision ,Augmented reality ,Cloud computing ,Artificial intelligence ,Kalman filter ,business ,Motion (physics) ,Mixed reality - Abstract
In our MM'20 paper,, we presented a Kalman filter-based approach for prediction of head motion in 6DoF. The proposed approach was employed in our cloud-based volumetric video streaming system to reduce the interaction latency experienced by the user. In this companion paper, we present the dataset collected for our experiments and our simulation framework that reproduces the obtained experimental results. Our implementation is freely available on Github to facilitate further research.
- Published
- 2021
38. Augmented Reality for Real-Time Detection and Interpretation of Colorimetric Signals Generated by Paper-Based Biosensors
- Author
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Steven M. Russell, Roberto de la Rica, and Antonio Doménech-Sánchez
- Subjects
Fluid Flow and Transfer Processes ,Detection limit ,Analyte ,business.industry ,Computer science ,Process Chemistry and Technology ,010401 analytical chemistry ,Bioengineering ,Nanotechnology ,02 engineering and technology ,Paper based ,021001 nanoscience & nanotechnology ,01 natural sciences ,Signal ,0104 chemical sciences ,Computer vision ,Augmented reality ,Artificial intelligence ,Naked eye ,0210 nano-technology ,business ,Instrumentation ,Biosensor - Abstract
Colorimetric tests are becoming increasingly popular in point-of-need analyses due to the possibility of detecting the signal with the naked eye, which eliminates the utilization of bulky and costly instruments only available in laboratories. However, colorimetric tests may be interpreted incorrectly by nonspecialists due to disparities in color perception or a lack of training. Here we solve this issue with a method that not only detects colorimetric signals but also interprets them so that the test outcome is understandable for anyone. It consists of an augmented reality (AR) app that uses a camera to detect the colored signals generated by a nanoparticle-based immunoassay, and that yields a warning symbol or message when the concentration of analyte is higher than a certain threshold. The proposed method detected the model analyte mouse IgG with a limit of detection of 0.3 μg mL–1, which was comparable to the limit of detection afforded by classical densitometry performed with a nonportable device. Whe...
- Published
- 2017
39. Watching plants grow – a position paper on computer vision andArabidopsis thaliana
- Author
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Hannah Dee and Jonathan Bell
- Subjects
0106 biological sciences ,0301 basic medicine ,Ground truth ,business.industry ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Image processing ,Image segmentation ,01 natural sciences ,Variety (cybernetics) ,03 medical and health sciences ,Range (mathematics) ,030104 developmental biology ,Market segmentation ,Position paper ,Computer vision ,Segmentation ,Computer Vision and Pattern Recognition ,Artificial intelligence ,business ,Software ,010606 plant biology & botany - Abstract
The authors present a comprehensive overview of image processing and analysis work done to support research into the model flowering plant Arabidopsis thaliana. Beside the plant's importance in biological research, using image analysis to obtain experimental measurements of it is an interesting vision problem in its own right, involving the segmentation and analysis of sequences of images of objects whose shape varies between individual specimens and also changes over time. While useful measurements can be obtained by segmenting a whole plant from the background, they suggest that the increased range and precision of measurements made available by leaf-level segmentation makes this a problem well worth solving. A variety of approaches have been tried by biologists as well as computer vision researchers. This is an interdisciplinary area and the computer vision community has an important contribution to make. They suggest that there is a need for publicly available datasets with ground truth annotations to enable the evaluation of new approaches and to support the building of training data for modern data-driven computer vision approaches, which are those most likely to result in the kind of fully automated systems that will be of use to biologists.
- Published
- 2017
40. 29‐4: Invited Paper: Human Eye's Sharp Vision Area Stabilization for VR Headsets
- Author
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Viktor Chertopolokhov and V. V. Alexandrov
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medicine.anatomical_structure ,business.industry ,Computer science ,Motion prediction ,medicine ,Galvanic stimulation ,Eye tracking ,Human eye ,Computer vision ,Artificial intelligence ,Virtual reality ,business - Published
- 2021
41. An Algorithm for On-Line Image Segmentation of Multiple Paper Defects Based on Fast Two-Dimensional Threshold Method
- Author
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Bo Feng, Yun-hui Qu, and Wei Tang
- Subjects
Computer science ,business.industry ,Media Technology ,General Materials Science ,Computer vision ,General Chemistry ,Image segmentation ,Artificial intelligence ,Line (text file) ,business - Published
- 2020
42. 19‐1: Distinguished Paper: Differences between oculomotor and perceptual artifacts for temporally limited head mounted displays
- Author
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Alexander Goettker, Kevin J. MacKenzie, and T. Scott Murdison
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Computer science ,business.industry ,Head (linguistics) ,Perception ,media_common.quotation_subject ,Motion blur ,Eye movement ,Computer vision ,Artificial intelligence ,business ,media_common - Published
- 2020
43. 50‐2: Distinguished Paper: Measuring the Color Capability of Modern Display Systems
- Author
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Rodney L. Heckaman, Johan Bergquist, John Penczek, Euan Smith, and Karl Lang
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business.industry ,Computer science ,Computer vision ,Artificial intelligence ,Chromaticity ,business - Published
- 2020
44. 42‐3: Late‐News Paper: Full‐Screen Capacitive Fingerprint Sensor and Touch Sensor
- Author
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Akihiko Fujisawa, Takaaki Kono, Teppei Yamada, Toshinori Uehara, Akihiko Saito, Naoshi Goto, Suzuki Yuji, Shinya Iuchi, Makoto Hayashi, Takanori Tsunashima, and Fumihoru Nakano
- Subjects
business.industry ,Computer science ,Capacitive sensing ,Computer vision ,Artificial intelligence ,Fingerprint recognition ,business - Published
- 2020
45. A Review Paper on Automatic Number Plate Recognition System
- Author
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Shally Gupta, Rajesh Shyam Singh, and Hardwari Lal Mandoria
- Subjects
0209 industrial biotechnology ,020901 industrial engineering & automation ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,0202 electrical engineering, electronic engineering, information engineering ,Recognition system ,020201 artificial intelligence & image processing ,Computer vision ,02 engineering and technology ,Artificial intelligence ,business - Abstract
Number plate recognition brings a drastic improvement for the city traffic enhancement. It provides the direction in which the steps should be taken for working of an effective intelligent transportation system. ANPR have become necessity for traffic control management due to rapid increment of vehicles. The main aim of ANPR is to monitor traffic and for security purpose. Recognition of number plate uses image processing techniques and latest technology in detecting characters on vehicle license plates automatically. In recent years, there are many technological developments in recognizing license plate area of research. Image processing protocols like OCR technology allow the traffic surveillance to deal with several problems that occurs in criminal investigation, toll collection, monitoring traffic, controlling speed, parking management etc. For efficient management of traffic and mass surveillance in transportation system, an ANPR system is essential. With the aid of image processing algorithms and vehicle images dataset, it becomes possible to monitor traffic at a large scale. Vehicle images are helpful for recognizing characters on license plates by performing image segmentation, feature extraction and character recognition. Data collected through captured images are utilized in the commercial applications, law enforcement, traffic applications etc. The software examines the vehicle picture as an input image that results in displaying the plate numbers. The system with image processing used reliably for traffic detection where modification of the technologies enables an accurate acknowledgement of vehicle number plates. There are several ANPR systems developed, working on character recognition of LP by the help of image processing technique. This paper reviews the performance by researchers in this particular area towards meeting goals of transportation system. It also provides major issues and challenges in this field.
- Published
- 2020
46. Research on image processing algorithm of immune colloidal gold test paper detection
- Author
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Guang Yang, Tiefeng Wang, and Peng Zhang
- Subjects
CMOS sensor ,business.industry ,Computer science ,Materials Science (miscellaneous) ,Template matching ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Image processing ,HSL and HSV ,Industrial and Manufacturing Engineering ,Image (mathematics) ,Color rendering index ,Position (vector) ,Line (geometry) ,Computer vision ,Artificial intelligence ,Business and International Management ,business - Abstract
In order to better solve the problem of automatic identification of quality control line and detection line in the detection of gold standard test strip, this paper proposes to collect the image information of gold standard test strip after color rendering through CMOS sensor, preprocess the obtained information, transform RGB image into gray image, build cloud model in the CIELAB/HSV/HSL space, and apply the improved AdaBoost algorithm to determine the position of detection line and quality control line Place. Compared with the traditional template matching method, it improves the accuracy and accuracy of recognition.
- Published
- 2020
47. Experiences in digitizing and digitally measuring a paper-based ECG archive
- Author
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Tuomas Kerola, Tuomas Kenttä, Markku Heliövaara, Aapo L. Aro, Arttu Holkeri, Kai Noponen, Harri Rissanen, Antti Eranti, Heikki V. Huikuri, M. Anette E. Haukilahti, Tapio Seppänen, M. Juhani Junttila, Paul Knekt, HYKS erva, Clinicum, Department of Medicine, Kardiologian yksikkö, and HUS Heart and Lung Center
- Subjects
Paper ,Medical Records Systems, Computerized ,Computer science ,Wave form ,electrocardiography ,Information Storage and Retrieval ,030204 cardiovascular system & hematology ,ELECTROCARDIOGRAM ,QT interval ,03 medical and health sciences ,QRS complex ,Electrocardiography ,0302 clinical medicine ,Humans ,Computer vision ,030212 general & internal medicine ,PR interval ,conversion ,Digitization ,Finland ,Measurement method ,business.industry ,Signal Processing, Computer-Assisted ,Conversion ,Paper based ,Health Surveys ,digitization ,3121 General medicine, internal medicine and other clinical medicine ,Health survey ,Artificial intelligence ,Cardiology and Cardiovascular Medicine ,business ,WAVE-FORM ,Software - Abstract
Background: No established method for digitizing and digital measuring of paper electrocardiograms (ECG) exists. We describe a paper ECG digitizing and digital measuring process, and report comparability to manual measurements. Methods: A paper ECG was recorded from 7203 health survey participants in 1978-1980. With specific software, the ECGs were digitized (ECG Trace Tool), and measured digitally (EASE). A sub-sample of 100 ECGs was selected for manual measurements. Results: The measurement methods showed good agreement. The mean global (EASE)-(manual) differences were 1.4 ms (95% CI 0.5-2.2) for PR interval, 1.0 ms (95% CI 1.5 [-0.5]) for QRS duration, and 11.6 ms (95% CI 10.5-12.7) for QT interval. The mean inter-method amplitude differences of RampV5, RampV6, SampV1, TampII and TampV5 ranged from 0.03 mV to 0.01 mV. Conclusions: The presented paper-to-digital conversion and digital measurement process is an accurate and reliable method, enabling efficient storing and analysis of paper ECGs. (C) 2017 Elsevier Inc. All rights reserved.
- Published
- 2018
48. Novel Paper Based Hand-Fabricated Point of Care Prothrombin Time Sensing Platform Using Pencil and Correction Pen
- Author
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Shantanu Bhattacharya and Anubhuti Saha
- Subjects
Prothrombin time ,medicine.diagnostic_test ,business.industry ,Computer science ,medicine ,Computer vision ,Paper based ,Artificial intelligence ,business ,Pencil (optics) ,Point of care - Abstract
Cardiovascular diseases (CVDs) are reported to be the leading cause of death worldwide by World Health Organization (WHO) with an approximate of 31% of global deaths. Consequently, it has been noted that the largest sector of population which experiences coagulation or hemostatic imbalances or undergo oral anticoagulation therapy (OAT) are the major sector susceptible to the risk of mortality due to cardiovascular ailments such as atherosclerosis, deep vein thrombosis (DVT), stroke etc. These candidates are prescribed or administered using oral anticoagulation therapy (OAT) and are advised to take the Prothrombin Time (PT) test respectively. Prothrombin Time (PT) analyzers are the type of haemostasis analyzer mainly catering to the coagulation following the extrinsic pathways. Additionally, the candidates under OAT requires routine administration of the coagulation status for proper dosage of warfarin or its derivatives which shares a very narrow therapeutic window. A slight amount of imbalance in the coagulation chemistry can disrupt the cardiovascular functioning, hence a routine monitoring is strongly mandated by cardiac surgeons. It is important to realize a simplified hand held, low cost point of care solution for diagnosing hemostasis or coagulation status to cater both the rural and urban sectors resulting in lower casualties due to coagulation imbalance. The respective work proposes a handheld point of care PT sensing paper sensor using very inexpensive pencil and correction pen and Whattman filter paper. In addition the sensor has enhanced capability of carrying our sensitive detection of coagulation status compared to the existing complex and expensive sensors developed through a variety of methods like screen printing, lithography, flexography printing, wax printing, PDMS printing, stamping etc. The proposed device consists of two pencil marks as electrodes. The device is illustrated in Figure 1. The sensor monitors a change in impedance (resistance) w.r.t time. Blood being an ionic fluid whose chemistry changes with the ionic interactions during the process of coagulation results in a direct correlation of the coagulation process to the respective impedimetric signatures. The synthetic coagulation behavior and the response of the device has been measure using nail paint as an analyte. The points of maximum changes in resistance (first and second) denotes the application of the analyte to the sensor and initiation of coagulation or solidification respectively (shown in Figure 2) from which the coagulation time is further derived. Lab View has been used as an interfacing platform for processing the respective resistive data and generating corresponding coagulation status. Thus, the particular PDE-PAD (pencil drawn electrodes- paper-based analytical devices) can be considered as a promising future device for low cost sensitive detection platform for a point of care PT diagnosis. Figure 1
- Published
- 2020
49. 2.3: Invited Paper: Visual Fatigue and Comfort Evaluation of the Different Proportions of Blue Light on the Same Display by Visual Research Task
- Author
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Xueli Kong, Feng Si, Yi Yang, and Yunhong Zhang
- Subjects
medicine.diagnostic_test ,business.industry ,medicine ,Computer vision ,Artificial intelligence ,Electroencephalography ,business ,Psychology ,Visual research ,Task (project management) ,Blue light - Published
- 2021
50. 24.2: Invited Paper: Study on Influential Factors of Image Quality for Laser Projection Television
- Author
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Weidong Liu, Xiaohua Li, Feixia Wang, Yuling Gao, Junyi Wang, Xianrong Liu, Youliang Tian, Yuzhen Dong, Yan Tu, and Yedong Wang
- Subjects
Image quality ,Computer science ,Just-noticeable difference ,business.industry ,Laser projection ,Computer vision ,Artificial intelligence ,business - Published
- 2021
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