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Optoelectronics in Machine Vision-Based Theories and Applications最新文献

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Leveraging Models of Human Reasoning to Identify EEG Electrodes in Images With Neural Networks 利用人类推理模型用神经网络识别图像中的脑电图电极
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH005
Alark Joshi, P. Luu, D. Tucker, Steven Duane Shofner
{"title":"Leveraging Models of Human Reasoning to Identify EEG Electrodes in Images With Neural Networks","authors":"Alark Joshi, P. Luu, D. Tucker, Steven Duane Shofner","doi":"10.4018/978-1-5225-5751-7.CH005","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH005","url":null,"abstract":"Humans have very little trouble recognizing discrete objects within a scene, but performing the same tasks using classical computer vision techniques can be counterintuitive. Humans, equipped with a visual cortex, perform much of this work below the level of consciousness, and by the time a human is conscious of a visual stimulus, the signal has already been processed by lower order brain regions and segmented into semantic regions. Convolutional neural networks are modeled loosely on the structure of the human visual cortex and when trained with data produced by human actors are capable of emulating its performance. By black-boxing the low-level image analysis tasks in this way, the authors model solutions to problems in terms of the workflows of expert human operators, leveraging both the work performed pre-consciously and the higher-order algorithmic solutions employed to solve problems.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132248703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analog Circuit of Light Detector for CMOS Image Sensor CMOS图像传感器光检测器模拟电路
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH002
A. Marzuki, M. T. Mustaffa, N. Noh, B. Saibon
{"title":"Analog Circuit of Light Detector for CMOS Image Sensor","authors":"A. Marzuki, M. T. Mustaffa, N. Noh, B. Saibon","doi":"10.4018/978-1-5225-5751-7.CH002","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH002","url":null,"abstract":"Plant phenotyping studies represent a challenge in agriculture application. The studies normally employ CMOS optical and image sensor. One of the most difficult challenges in designing the CMOS sensor is the need to achieve good sensitivity while achieving low noise and low power simultaneously for the sensor. At low power, the CMOS amplifier in the sensor is normally having a lower gain, and it becomes even worse when the frequency of the interest is in the vicinity of flicker noise region. Using conventional topology such as folded cascode will result in the CMOS amplifier having high gain, but with the drawback of high power. Hence, there is a need for a new approach that improves the sensitivity of the CMOS sensor while achieving low power. The objective of this chapter is to update CMOS sensors and to introduce a modified light integrating circuit which is suitable for CMOS image sensor.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124123093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mobile Robot Path Planning Using Continuous Laser Scanning 基于连续激光扫描的移动机器人路径规划
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH012
Mykhailo Ivanov, L. Lindner, O. Sergiyenko, J. Rodríguez-Quiñonez, W. Flores-Fuentes, M. Rivas-López
{"title":"Mobile Robot Path Planning Using Continuous Laser Scanning","authors":"Mykhailo Ivanov, L. Lindner, O. Sergiyenko, J. Rodríguez-Quiñonez, W. Flores-Fuentes, M. Rivas-López","doi":"10.4018/978-1-5225-5751-7.CH012","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH012","url":null,"abstract":"The main object of this book chapter is an introduction and presentation of mobile robot path planning using continuous laser scanning, which has significant advantages compared with discrete laser scanning. A general introduction to laser scanning systems is given, whereby a novel technical vision system (TVS) using the dynamic triangulation measurement method for 3D coordinate determination is found suitable for accomplishing this task of mobile robot path planning. Furthermore, methods and algorithms for mobile robot road maps and path planning are presented and compared.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130059575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Machine Vision Application on Science and Industry 机器视觉在科学和工业上的应用
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH008
Bassem Zohdy, Mahmood A. Mahmood, N. Darwish, H. Hefny
{"title":"Machine Vision Application on Science and Industry","authors":"Bassem Zohdy, Mahmood A. Mahmood, N. Darwish, H. Hefny","doi":"10.4018/978-1-5225-5751-7.CH008","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH008","url":null,"abstract":"Machine vision studies opens a great opportunity for different domains as manufacturing, agriculture, aquaculture, medical research, also research studies and applications for better understanding of processes and operations. As scientists' efforts had been directed towards deep understanding of the particular material systems or particular classes of types of specific fruits, or diagnosis of patients through medical images classification and analysis, also real time detection and inspection of malfunction piece, or process, as various domains witnessed advancement through using machine vision techniques and methods.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126592949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Optoelectronic Differential Cloudy Triangulation Method for Measuring Geometry of Hot Moving Objects 热运动物体几何测量的光电差分云雾三角测量方法
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH003
S. Dvoynishnikov, V. Meledin
{"title":"Optoelectronic Differential Cloudy Triangulation Method for Measuring Geometry of Hot Moving Objects","authors":"S. Dvoynishnikov, V. Meledin","doi":"10.4018/978-1-5225-5751-7.CH003","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH003","url":null,"abstract":"The new differential cloudy triangulation method for quick and precise measurement of thickness of hot dynamic objects is proposed. The method is based on laser cloudy triangulation, used in the synchronous differential mode. The experimental model of the laser system for thickness measurements, which implements the proposed method, has been developed. Laboratory and industrial tests of the laser system have been performed. They confirm efficiency and possibilities of differential cloudy triangulation in metallurgy. The differential cloudy triangulation method may be used for geometry measurement of hot dynamic objects in a wide range of strong optical refractions in media.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127242035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Surface Measurement Techniques in Machine Vision 机器视觉中的表面测量技术
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH004
Oscar Real Real, Moises J. Castro-Toscano, J. Rodríguez-Quiñonez, Oleg Serginyenko, D. Hernández-Balbuena, M. Rivas-López, W. Flores-Fuentes, L. Lindner
{"title":"Surface Measurement Techniques in Machine Vision","authors":"Oscar Real Real, Moises J. Castro-Toscano, J. Rodríguez-Quiñonez, Oleg Serginyenko, D. Hernández-Balbuena, M. Rivas-López, W. Flores-Fuentes, L. Lindner","doi":"10.4018/978-1-5225-5751-7.CH004","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH004","url":null,"abstract":"Surface measurement systems (SMS) allow accurate measurements of surface geometry for three-dimensional computational models creation. There are cases where contact avoidance is needed; these techniques are known as non-contact surface measurement techniques. To perform non-contact surface measurements there are different operating modes and technologies, such as lasers, digital cameras, and integration of both. Each SMS is classified by its operation mode to get the data, so it can be divided into three basic groups: point-based techniques, line-based techniques, and area-based techniques. This chapter provides useful information about the different types of non-contact surface measurement techniques, theory, basic equations, system implementation, actual research topics, engineering applications, and future trends. This chapter is particularly valuable for students, teachers, and researchers that want to implement a vision system and need an introduction to all available options in order to use the most convenient for their purpose.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126739357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Methods and Algorithms for Technical Vision in Radar Introscopy 雷达内窥镜技术视觉的方法与算法
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH013
O. Sytnik, V. Kartashov
{"title":"Methods and Algorithms for Technical Vision in Radar Introscopy","authors":"O. Sytnik, V. Kartashov","doi":"10.4018/978-1-5225-5751-7.CH013","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH013","url":null,"abstract":"Optimization of technical characteristics of radio vision systems is considered in the radars with ultra-wideband sounding signals. Highly noisy conditions, in which such systems operate, determine the requirements that should be met by the signals being studied. The presence of the multiplicative noise makes it difficult to design optimal algorithms of echo-signal processing. Consideration is being given to the problem of discriminating objects hidden under upper layers of the ground at depths comparable to the probing pulse duration. Based upon the cepstrum and textural analysis, a subsurface radar signal processing technique has been suggested. It is shown that, however the shape of the probing signal spectrum might be, the responses from point targets in the cepstrum images of subsurface ground layers make up the texture whose distinctive features enable objects to be detected and identified.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128266215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Methods to Reduce the Optical Noise in a Real-World Environment of an Optical Scanning System for Structural Health Monitoring 用于结构健康监测的光学扫描系统在实际环境中降低光噪声的方法
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH011
J. E. Miranda-Vega, M. Rivas-López, W. Flores-Fuentes, O. Sergiyenko, J. Rodríguez-Quiñonez, L. Lindner
{"title":"Methods to Reduce the Optical Noise in a Real-World Environment of an Optical Scanning System for Structural Health Monitoring","authors":"J. E. Miranda-Vega, M. Rivas-López, W. Flores-Fuentes, O. Sergiyenko, J. Rodríguez-Quiñonez, L. Lindner","doi":"10.4018/978-1-5225-5751-7.CH011","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH011","url":null,"abstract":"This chapter describes different methods and devices that can be used in optical scanning systems (OSS), especially applied to structural health and monitoring (SHM) in order to reduce the interference and losing of resolution in the measurements of the displacements and coordinates calculated by the OSS of a specific structure to be monitored. The principal parts of the OSS are a photo-detector, non-rotating emitter source of light, a DC electrical motor, lens, and mirror. All the measurements and experiments have been realized in a controlled environmental; the optical noise was simulated with a similar intensity than the intensity of the reference signal of the emitter source. Applying analogue filters has disadvantages because part of signal with important information for the performance of the system is removed, but particularly the components will often be too costly. However, there are digital filters and techniques of computational statistics that can solve these problems.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134271920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Moving Object Classification Under Illumination Changes Using Binary Descriptors 基于二元描述符的光照变化下运动目标分类
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH007
S. Vasavi, Ayesha Shaik, Phani chaitanya Krishna Sunkara
{"title":"Moving Object Classification Under Illumination Changes Using Binary Descriptors","authors":"S. Vasavi, Ayesha Shaik, Phani chaitanya Krishna Sunkara","doi":"10.4018/978-1-5225-5751-7.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH007","url":null,"abstract":"Object recognition and classification has become important in a surveillance video situated at prominent areas such as airports, banks, military installations, etc. Outdoor environments are more challenging for moving object classification because of incomplete appearance details of moving objects due to illumination changes and large distance between the camera and moving objects. As such, there is a need to monitor and classify the moving objects by considering the challenges of video in the real time. Training the classifiers using feature-based approaches is easier and faster than pixel-based approaches in object classification. Extraction of a set of features from the object of interest is most important for classification. Viewpoint and sources of light illumination plays major role in the appearance of an object. Abrupt transitions are identified using Chi-square and corners are detected using Harris corner detection. Silhouettes are captured using background subtraction and feature extraction is done using ORB. k-NN classifier is used for classification.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Object-Oriented Logic Programming of Intelligent Visual Surveillance for Human Anomalous Behavior Detection 面向对象的人类异常行为检测智能视觉监控逻辑编程
Optoelectronics in Machine Vision-Based Theories and Applications Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-5751-7.CH006
Morozov Alexei Alexandrovich, Sushkova Olga Sergeevna, Polupanov Alexander Fedorovich
{"title":"Object-Oriented Logic Programming of Intelligent Visual Surveillance for Human Anomalous Behavior Detection","authors":"Morozov Alexei Alexandrovich, Sushkova Olga Sergeevna, Polupanov Alexander Fedorovich","doi":"10.4018/978-1-5225-5751-7.CH006","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH006","url":null,"abstract":"The idea of the logic programming-based approach to the intelligent visual surveillance is in usage of logical rules for description and analysis of people behavior. New prospects in logic programming of the intelligent visual surveillance are connected with the usage of 3D machine vision methods and adaptation of the multi-agent approach to the intelligent visual surveillance. The main advantage of usage of 3D vision instead of the conventional 2D vision is that the first one can provide essentially more complete information about the video scene. The availability of exact information about the coordinates of the parts of the body and scene geometry provided by means of 3D vision is a key to the automation of behavior analysis, recognition, and understanding. This chapter supplies the first systematic and complete description of the method of object-oriented logic programming of the intelligent visual surveillance, special software implementing this method, and new trends in the research area linked with the usage of novel 3D data acquisition equipment.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128275221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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