Download or read book Human Visual System Model written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-06 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Examining Optoelectronics in Machine Vision and Applications in Industry 4 0 written by Sergiyenko, Oleg and published by IGI Global. This book was released on 2021-02-12 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book A Model of Image Processing in the Human Visual System written by Ilan Tamches and published by . This book was released on 1972 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Study on Image Processing Method Combined with Real Human Visual System written by Li-Ming Chen and published by . This book was released on 2021 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book A Physiologically Based Human Visual System Model for Threshold Vision and Image Processing written by Kou-Hu Tzou and published by . This book was released on 1983 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book From Humans to Computers written by Viktor Vasil?evich Aleksandrov and published by World Scientific. This book was released on 1991 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Digital Images and Human Vision written by Andrew B. Watson and published by Bradford Books. This book was released on 1993 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Contrast Sensitivity of the Human Eye and Its Effects on Image Quality written by Peter G. J. Barten and published by SPIE Press. This book was released on 1999 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the contrast sensitivity of the human visual system - concerning the eye's ability to distinguish objects from each other or from the background - and its effects on the imageforming process. The text provides equations for determining various aspects of contrast sensitivity, in addition to models that easily can be used for practical applications.
Download or read book The Primate Visual System written by Jan Kremers and published by John Wiley & Sons. This book was released on 2005-12-13 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book An Introduction to the Visual System written by Martin J. Tovée and published by Cambridge University Press. This book was released on 2008-07-03 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Vision written by Jeanny Hrault and published by World Scientific. This book was released on 2010 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Stabilized Image Adaptation in the Human Visual System a Model for Spatial Temporal Luminance and Chromatic Effects written by Jesse D. Olson and published by . This book was released on 1994 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vision Models and Applications to Image and Video Processing written by Christian J. van den Branden Lambrecht and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this introduction to vision models and their use in image and video processing applications, prominent authors take on an engineering and signal processing approach. It is intended for an engineering audience that wants to use and become familiar with vision models.
Download or read book Next Generation Artificial Vision Systems written by Anil Anthony Bharath and published by Artech House. This book was released on 2008 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary work brings you to the cutting edge of emerging technologies inspired by human sight, ranging from semiconductor photoreceptors based on novel organic polymers and retinomorphic processing circuitry to low-powered devices that replicate spatial and temporal processing in the brain. Moreover, it is the first work of its kind that integrates the full range of physiological, engineering, and mathematical issues and advances together in a single source.
Download or read book Psychological Correlates of a Model of the Human Visual System written by and published by . This book was released on 1971 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: A model of the human visual system is investigated for psychological correlates. A priori hypotheses from the model concerned with human identification of defocused letters as well as identification of rotated letters have been validated with the computer model. Gestalt principles of similarity, proximity, closure, and figure-ground perception as well as geometric illusions are explained in terms of spatial filter bandwidth using the optics homolog. The experimental results have allowed postulates which extend the model by means of another cortical transform and a spatial filter shape which is also psychologically correlated. It is further postulated that the human perceptual space is the image domain from spatially filtered transforms of object forms. It is concluded that the model provides a means of obtaining quantitative psychological correlates of the human visual system. Recommendations are made for additional investigations concerning psychological correlates.
Download or read book A Human Visual System Based Model for Contour Detection in Natural Images written by Karthikeyan Vaithianathan and published by . This book was released on 2000 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Psychological Correlates of a Model of the Human Visual System written by Arthur Phillip Ginsburg (2LT, USAF.) and published by . This book was released on 1971 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
