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Author: Fouad Sabry Publisher: One Billion Knowledgeable ISBN: Category : Computers Languages : en Pages : 123
Book Description
What is Human Visual System Model Experts in image processing, video processing, and computer vision make use of a human visual system model in order to deal with biological and psychological processes that are not yet completely understood. An example of such a model is utilized in order to simplify the behaviors of a system that is extremely complex. Whenever there is an improvement in our understanding of the actual visual system, the model is updated. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Human visual system model Chapter 2: Data compression Chapter 3: Image compression Chapter 4: Transform coding Chapter 5: Optical illusion Chapter 6: Chroma subsampling Chapter 7: Compression artifact Chapter 8: Grayscale Chapter 9: Tone mapping Chapter 10: Color appearance model (II) Answering the public top questions about human visual system model. (III) Real world examples for the usage of human visual system model in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Human Visual System Model.
Author: Fouad Sabry Publisher: One Billion Knowledgeable ISBN: Category : Computers Languages : en Pages : 123
Book Description
What is Human Visual System Model Experts in image processing, video processing, and computer vision make use of a human visual system model in order to deal with biological and psychological processes that are not yet completely understood. An example of such a model is utilized in order to simplify the behaviors of a system that is extremely complex. Whenever there is an improvement in our understanding of the actual visual system, the model is updated. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Human visual system model Chapter 2: Data compression Chapter 3: Image compression Chapter 4: Transform coding Chapter 5: Optical illusion Chapter 6: Chroma subsampling Chapter 7: Compression artifact Chapter 8: Grayscale Chapter 9: Tone mapping Chapter 10: Color appearance model (II) Answering the public top questions about human visual system model. (III) Real world examples for the usage of human visual system model in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Human Visual System Model.
Author: Sergiyenko, Oleg Publisher: IGI Global ISBN: 179986524X Category : Computers Languages : en Pages : 346
Book Description
The research and exploitation of optoelectronic properties in the industrial branch of electronics is becoming more popular each day due to the important role they play in the development of a large variety of sensors, devices, and systems for identifying, measuring, and constructing. While optoelectronics study the applications of electronic devices that source, detect, and transform light, machine vision generates and detects light in order to provide imaging-based automatic inspections and analysis for such applications as automatic object and environmental inspection, process control, and robot/mobile machine guidance in industry. Machine vision is less efficient without optoelectronics, and thus, it is important to investigate the theoretical approaches to different optoelectronic devices available for machine vision as well as current scanning technologies. Examining Optoelectronics in Machine Vision and Applications in Industry 4.0 focuses on the examination of emerging technologies for the design, fabrication, and implementation of optoelectronic sensors, devices, and systems in a machine vision approach to support industrial, commercial, and scientific applications. The book covers topics such as the design, fabrication, and implementation of sensors and devices as well as the development viewpoint of optoelectronic systems and artificial vision techniques using optoelectronic devices. The interaction and informational communication between all these mentioned devices in the complex solution of the same task is the subject of modern challenges in Industry 4.0. Thus, this book supports engineers, technology developers, academicians, researchers, and students who seek machine vision techniques for detection, measurement, and 3D reconstruction.
Author: Li-Ming Chen Publisher: ISBN: Category : Languages : en Pages : 104
Book Description
In image processing technology, the human visual system model (HVS model) is a simplified method when technology faces such complex problems as biology and psychology. The HVS model will continue to improve as we understand the real vision system. However, there are some problems because of our insufficient understanding of the real visual system, which further neglects important features. In the situation where important features are ignored, the problems that can be easily distinguished in real vision in the prior art become difficult and complicated. In order to further understand the real visual system, this dissertation proposes basic improvement methods for some outdoor fire alarm systems and trademark image retrieval systems based on the human eye recognition pattern proposed by Gestalt psychologist K. Koffka. In the existing outdoor fire alarm systems, the image fire detection system, which is not restricted by the terrain range, is used. However, after the fire detection system detects and locates the fire, a responsible firefighter still needs to assist in observing whether it is a real. The reason for this is that in the real human visual system, we observe not only fire but also some other useful information. Fire and other useful information human experience are enough to accurately predict whether the detected fire will deteriorate. Fire triangle, coming from human experience, includes three ingredients, namely : oxygen, heat, and fuel, that are required for a fire to burn, the three elements of oxygen, fuel and heat are the important elements that make up the fire. In fire-related work, after the fire triangle system is enlarged in time and space, the corresponding three elements are also transformed into climate, vegetation and ignition. Removal of climate is a feature that cannot be captured by ordinary cameras, and vegetation and ignition are features that can often be obtained. However, existing fire detection systems cannot take vegetation features into consideration. The main reason is that the disturbing factors of the vegetation feature are very large. This dissertation is based on one of the feature of Convolutional Neural Network (CNN) in deep learning. This feature is that the neural network has a certain resistance to environmental changes. This dissertation proposes a fire alarm system similar to human vision. The proposed system performs transfer learning and system testing on the image data reclassified by CNN using the proposed method. The test results show that the proposed method reduces the false positive rate (FPR) of the past system from 40.47% to 4.15% when false negative (FN) is 0. This result confirms that the reclassification of the proposed method can indeed enable the existing system to obtain fire alarm accuracy similar to that of the real human visual system. In the existing trademark image retrieval system, the mathematical model of trademark retrieval can effectively and quickly find similar trademarks. However, in the courts of various countries, many actual trademark judgments often fail to use these systems as the criteria for judging whether there is confusion between trademarks. The main reason is that although the mathematical model can find the features of the two trademarks is similar, it cannot explain the correlation between the used features and the real human visual system. Such a result makes the judge must use his own subjective cognition as the criterion of judgment, and make the judgment deviate from justice. Based on K. Koffka's seven-oriented explanation of the recognition patterns of human eyes and the principles of trademark design, this dissertation proposes seven corresponding features. At the same time, we propose a new mathematical model to implement these seven features, and use the database to test. The experimental results show that the seven-feature system proposed in this dissertation can not only accurately judge the similarity as the existing trademark image retrieval system, but also explain which features of the trademarks are similar. Through the distance of the features, it further explains why the real visual system considers the two trademarks to be the same or different. According to the HVS model, this dissertation proposes two systems in different fields. In the experimental tests, this dissertation proves that the proposed HVS model system can effectively assist humans, and link image processing, visual psychology, and trademark design to achieve technologies that enhance human well-being.
Author: Andrew B. Watson Publisher: Bradford Books ISBN: 9780262231718 Category : Computers Languages : en Pages : 224
Book Description
These fifteen contributions by distinguished vision and imaging scientists explore the role of human vision in the design of modem image communication systems. A dominant theme in the book is image compression—how compression algorithms can be designed to make best use of what we know about human vision. Electronic image communications, which encompass television, high-definition television, teleconferencing, multimedia, digital photography, desktop publishing, and digital movies, is a rapidly growing segment of technology and business. Because these products and technologies are designed for human viewing, knowledge of human perception is essential to optimal design. This book provides a timely compendium of important ideas and perspectives on such subjects as the key aspects of human visual sensitivity that are relevant to image communications and, conversely, the major problems in image communications that vision science can address; the mathematical models of human vision that are useful in the design of image comunications systems; reliable and efficient methods of evaluating visual quality; and aspects of human vision that can be exploited to provide substantial improvements in coding efficiency. Andrew B. Watson is Senior Scientist for Vision Research at NASA. Contributors: Albert J. Ahumada, Jr. E. Barth. V. Michael Bove, Jr. Gershon Buchsbaum. Phillipe Cassereau. Pamela C. Cosman. Scott J. Daly. Michael Eckert. Bernd Girod. William E. Glenn. Robert M. Gray. Paul J. Hearty. Bradley Horowitz. Stanley Klein. Jeffrey Lubin, Cynthia Null. Karen L. Oehler. Alex Pentland. Todd Reed. Andrew B. Watson. B. Wegmann. Christof Zetsche.
Author: Viktor Vasil?evich Aleksandrov Publisher: World Scientific ISBN: 9789810202989 Category : Computers Languages : en Pages : 224
Book Description
This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the functional and structural organization of the human perception mechanism, the peculiarities of artistic perception and the expression of reality. Computer vision models based on these data are investigated. They include the processes of external data analysis, internal environmental model synthesis, and the generating of behavioristic responses based on external and internal models comparison. Computer vision system evolution resulting from environmental effects is also considered. A unique feature of this book is the authors' use of black and white, and colour prints of traditional and contemporary Russian art to illustrate their principal theses. In doing so, they introduce the reader to a particularly Russian view of the world.
Author: Jan Kremers Publisher: John Wiley & Sons ISBN: 0470868104 Category : Science Languages : en Pages : 382
Book Description
Many recent developments in the field in recording, staining, genetic and stimulation techniques, in vivo, and in vitro have significantly increased the amount of available data on the primate visual system. Written with contributions from key neurobiologists in the field, The Primate Visual System will provide the reader with the latest developments, examining the structure, function and evolution of the primate visual system. The book takes a comparative approach as a basis for studying the physiological properties of primate vision and examines the phylogenetic relationship between the visual systems of different primate species. Taken from a neurobiologist’s perspective this book provides a unique approach to the study of primate vision as a basis for further study into the human visual system. Altogether an important overview of the structure, function and evolution of the primate visual system from a neurobiologist’s perspective, written specifically for higher level undergraduate and graduate students taking courses in neuroscience, physiology, optics/ visual science, as well as a valuable read to researchers new to the field.
Author: Martin J. Tovée Publisher: Cambridge University Press ISBN: 1139472674 Category : Medical Languages : en Pages : 229
Book Description
Building on the successful formula of the first edition, Martin Tovée offers a concise but detailed account of how the visual system is organised and functions to produce visual perception. He takes his readers from first principles; the structure and function of the eye and what happens when light enters, to how we see and process images, recognise patterns and faces, and through to the most recent discoveries in molecular genetics and brain imaging, and how they have uncovered a host of new advances in our understanding of how visual information is processed within the brain. Incorporating new material throughout, including almost 50 new images, every chapter has been updated to include the latest research, and culminates in helpful key points, which summarise the lessons learnt. This book is an invaluable course text for students within the fields of psychology, neuroscience, biology and physiology.
Author: Jeanny Hrault Publisher: World Scientific ISBN: 9814273694 Category : Computers Languages : en Pages : 308
Book Description
At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling. After recalling the physics of light and its transformation through media and optics, Hrault presents the principles of the primate's visual system in terms of anatomy and functionality. Then, the neuronal circuitry of the retina is analyzed in terms of spatio?temporal filtering. This basic model is extended to the concept of neuromorphic circuits for motion processing and to the processing of color in the retina. For more in-depth studies, the adaptive non-linear properties of the photoreceptors and of ganglion cells are addressed, exhibiting all the power of the retinal pre-processing of images as a system of information cleaning suitable for further cortical processing. As a target of retinal information, the primary visual area is presented as a bank of filters able to extract valuable descriptors of images, suitable for categorization and recognition and also for local information extraction such as saliency and perspective. All along the book, many comparisons between the models and human perception are discussed as well as detailed applications to computer vision.
Author: Fouad Sabry
Author: Fouad Sabry
Author: Sergiyenko, Oleg
Author: Ilan Tamches
Author: Li-Ming Chen
Author: Andrew B. Watson
Author: Kou-Hu Tzou
Author: Viktor Vasil?evich Aleksandrov
Author: Jan Kremers
Author: Martin J. Tovée
Author: Jeanny Hrault