Computer Vision Systems is a collection of papers presented at the Workshop on Computer Vision Systems held at the University of Massachusetts in Amherst, Massachusetts, on June 1-3, 1977. Contributors discuss the breadth of problems that must be taken into account in the development of general computer vision systems. Topics covered include the application of system engineering techniques to the design of artificial intelligence systems; representation and segmentation of natural scenes; and pragmatic aspects of machine vision. Psychophysical measures of representation and interpretation are also considered. This monograph is divided into four sections: Issues and Research Strategies, Segmentation, Theory and Psychology, and Systems. The first chapter explores the problem of recovering the intrinsic characteristics of scenes from images, along with its implications for machine and human vision. The discussion then turns to special-purpose low-level vision systems that can be flexibly reconfigured as the need arises; design, development, and implementation of large systems from the human engineering point of view; and representation of visual information. The next section examines hierarchical relaxation for waveform parsing; the topology and semantics of intensity arrays; and visual images as spatial representations in active memory. The use of edge cues to recognize real-world objects is also analyzed. This text will be a useful resource for systems designers, computer engineers, and scientists as well as psychologists.
Current research in artificial intelligence and computer vision presented at the Israeli Symposium are combined in this volume to present an invaluable resource for students, industry and research organizations. Papers have been contributed from researchers worldwide, showing the growing interest of the international community in the work done in Israel. The papers selected are varied, reflecting the most contemporary research trends.
Computer Vision and Image Processing contains review papers from the Computer Vision, Graphics, and Image Processing volume covering a large variety of vision-related topics. Organized into five parts encompassing 26 chapters, the book covers topics on image-level operations and architectures; image representation and recognition; and three-dimensional imaging. The introductory part of this book is concerned with the end-to-end performance of image gathering and processing for high-resolution edge detection. It proposes methods using mathematical morphology to provide a complete edge detection process that may be used with any slope approximating operator. This part also discusses the automatic control of low-level robot vision, presents an image partitioning method suited for parallel implementation, and describes invariant architectures for low-level vision. The subsequent two sections present significant topics on image representation and recognition. Topics covered include the use of the primitives chain code; the geometric properties of the generalized cone; efficient rendering and structural-statistical character recognition algorithms; multi-level thresholding for image segmentation; knowledge-based object recognition system; and shape decomposition method based on perceptual structure. The fourth part describes a rule-based expert system for recovering three-dimensional shape and orientation. A procedure of intensity-guided range sensing to gain insights on the concept of cooperative-and-iterative strategy is also presented in this part. The concluding part contains supplementary texts on texture segmentation using topographic labels and an improved algorithm for labeling connected components in a binary image. Additional algorithms for three-dimensional motion parameter determination and surface tracking in three-dimensional binary images are also provided.
Multicomputer Vision is a collection of papers and discussions presented at the 8th Workshop on Multicomputers, held in Rome, Italy on June 2-5, 1987. Contributors present multicomputer algorithms for image processing, evaluation and suggestions on multicomputer systems, and new designs in advanced architectures for computer vision. It then examines the use of Polymorphic Torus architecture to yield positive results in the computation of Hough Transform through executing mesh and tree algorithms. The succeeding papers present the five-level quad-tree pyramid algorithm based on chips from the MPP machine and the algorithm databases required for scheduling and reconfiguration decisions based on the user task definition. Other chapters oriented towards the evaluation of multicomputer systems are also provided. These chapters include discussions on multi-processor architectures based on perceptual tasks, the advantages of fine grain associative string structure for general purpose computer vision system, and the use of identical single processor elements for comparison between processor arrays and pipeline computers. The book also contains papers oriented on the design features of new multiprocessor architectures. These papers discuss the memory limitations of parallel machines and the physical realization of a one-dimensional array of 128 to 1024 identical processors. This book provides an informal frame of reference to researchers who are interested in the design and development of algorithms, and architectures or languages of multiprocessor systems.
Cellular Nonlinear/Neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an entire new analog computing industry. This unique undergraduate-level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Leon Chua, co-inventor of the CNN, and Tams Roska are both highly respected pioneers in the field.
Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image Processing is a comprehensive and reliable resource which now provides explanations of over 3500 of the most commonly used terms across image processing, computer vision and related fields including machine vision. It offers clear and concise definitions with short examples or mathematical precision where necessary for clarity that ultimately makes it a very usable reference for new entrants to these fields at senior undergraduate and graduate level, through to early career researchers to help build up knowledge of key concepts. As the book is a useful source for recent terminology and concepts, experienced professionals will also find it a valuable resource for keeping up to date with the latest advances. New features of the 2nd Edition: Contains more than 1000 new terms, notably an increased focus on image processing and machine vision terms; Includes the addition of reference links across the majority of terms pointing readers to further information about the concept under discussion so that they can continue to expand their understanding; Now available as an eBook with enhanced content: approximately 50 videos to further illustrate specific terms; active cross-linking between terms so that readers can easily navigate from one related term to another and build up a full picture of the topic in question; and hyperlinked references to fully embed the text in the current literature.
Provide a thorough introduction of the most important Microsoft Office 2010 skills to beginning students with Microsoft® Excel 2010 Introductory, part of the Origins Series. This text includes features that make learning easy and enjoyable, yet challenging for learners. Students will be engaged with activities that range from simulations to case studies that challenge and sharpen problem-solving skills while gaining the hands-on practice needed to be successful computer users.
NEW PERSPECTIVES ON MICROSOFT WINDOWS 7 takes a critical-thinking approach to teaching Windows 7 concepts and skills. In addition to in-depth coverage of essential topics, this book also covers some of the coolest new features to the Windows Operating System including Live TV and Windows Touch. The New Perspectives Series has also added new pedagogical elements to help students with all learning styles absorb key information. The Visual Overview at the beginning of each tutorial gives students a visual look at the content, as well as a study guide for later use. ProSkill Boxes and Exercises provide students with information and practice on Professional Skills that relate to that tutorial's content.
Give your students the tools they need to succeed! Course Technology's CourseNotes are a six-panel quick reference card that reinforces the most important and widely used features of a software application in a visual and user-friendly format. CourseNotes will serve as a great reference tool during and after the student completes the course and help them to be successful in the classroom and beyond!
NEW PERSPECTIVES ON MICROSOFT WINDOWS 7 takes a critical-thinking approach to teaching Windows 7 concepts and skills. In addition to in-depth coverage of essential topics, this book also covers some of the coolest new features to the Windows Operating System including Live TV and Windows Touch. The New Perspectives Series has also added new pedagogical elements to help students with all learning styles absorb key information. The Visual Overview at the beginning of each tutorial gives students a visual look at the content, as well as a study guide for later use. ProSkill Boxes and Exercises provide students with information and practice on Professional Skills that relate to that tutorial's content.
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