Evaluation of Multicomputers for Imaging Processing covers the proceedings of the 1984 Tanque Verde Workshop, held in Tucson. This book is organized into four parts encompassing 17 chapters that summarize the benchmark evaluation efforts specific to multicomputer systems designed for the efficient execution of image processing tasks. The first part considers the basic problem of benchmarking and presents an evaluation procedure or sets of instructions for establishing benchmark routines, tasks, and procedures. The next part deals with the simulation and evaluation. This part first examines semiconductor chips designed for use in imaging processing followed by the presentation of formulas for measuring algorithms, architecture efficiency, speedup, and processing element utilization for SIMD/MIMD multicomputers. This part also considers the image processing systems composed of various types of networks of processing elements. The third part describes a content-addressable array and its applications to machine vision, as well as the architecture and programming methods of the WARP multicomputer. This part further looks into the elevation measurements techniques by registering stereo pairs obtained from aerial photography using ""pass point"" correlation methods. The concluding part highlights the hardware implementations of general-purpose image processing systems with associated performance evaluations. Computer scientists and engineers will greatly benefit from this book.
Picture Processing and Psychopictorics explores the selected aspects of perception and picture processing involving variables that are relevant to psychopictoric research. This book is organized into four parts encompassing 18 chapters. The first three parts cover the three classes of psychophysical variables, namely, contrast and border, shape and geometry, and texture. These parts also deal with the factors that influence the detection of objects in complex images. The discussion then shifts to the role of these factors in perception, as well as the computer analysis and manipulation of images with respect to these factors. The fourth part describes the programming systems for online experimental design and image manipulation. This work will be of great value to psychologists concerned with determining how the human extracts information from visual stimuli and to computer scientist concerned with developing programs and equipment to extract similar information from images.
For decades, researchers have been developing algorithms to manipulate and analyze images. From this, a common set of image tools now appear in many high-level programming languages. Consequently, the amount of coding required by a user has significantly lessened over the years. While the libraries for image analysis are coalescing to a common toolkit, the language of image analysis has remained stagnant. Often, textual descriptions of an analytical protocol consume far more real estate than does the computer code required to execute the processes. Furthermore, the textual explanations are sometimes vague or incomplete. This book offers a precise mathematical language for the field of image processing. Defined operators correspond directly to standard library routines, greatly facilitating the translation between mathematical descriptions and computer script. This text is presented with Python 3 examples. This text will provide a unified language for image processing Provides the theoretical foundations with accompanied Python scripts to precisely describe steps in image processing applications Linkage between scripts and theory through operators will be presented All chapters will contain theories, operator equivalents, examples, Python codes, and exercises
Simulation is the art of using tools – physical or conceptual models, or computer hardware and software, to attempt to create the illusion of reality. The discipline has in recent years expanded to include the modelling of systems that rely on human factors and therefore possess a large proportion of uncertainty, such as social, economic or commercial systems. These new applications make the discipline of modelling and simulation a field of dynamic growth and new research. Stanislaw Raczynski outlines the considerable and promising research that is being conducted to counter the problems of uncertainty surrounding the methods used to approach these new applications. It aims to stimulate the reader into seeking out new tools for modelling and simulation. Examines the state-of-the-art in recent research into methods of approaching new applications in the field of modelling and simulation Provides an introduction to new modelling tools such as differential inclusions, metric structures in the space of models, semi-discrete events, and use of simulation in parallel optimization techniques Discusses recently developed practical applications: for example the PASION simulation system, stock market simulation, a new fluid dynamics tool, manufacturing simulation and the simulation of social structures Illustrated throughout with a series of case studies Modelling and Simulation: The Computer Science of Illusion will appeal to academics, postgraduate students, researchers and practitioners in the modelling and simulation of industrial computer systems. It will also be of interest to those using simulation as an auxiliary tool.
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.
Computer Image Processing and Recognition
The book helps readers develop fundamental skills in the field of biomedical illustrations with a training approach based on step-by-step tutorials with a practical approach. Medical/scientific illustration mainly belongs to professionals in the art field or scientists trying to create artistic visualization. There is not a merging between the two, even if the demand is high. This leads to accurate scientific images with no appeal (or trivial mistakes), or appealing CSI-like images with huge scientific mistakes. This gives the fundamentals to the scientist so they can apply CG techniques that give a more scientific approach creating mistake-free images. Key Features This book provides a reference where none exist. Without overwhelming the reader with software details it teaches basic principles to give readers to fundamentals to create. Demonstrates professional artistic tools used by scientists to create better images for their work. Coverage of lighting and rendering geared specifically for scientific work that is toturoal based with a practical approach. Included are chapter tutorials, key terms and end of chapter references for Art and Scientific References for each chapter.
List of Contributors. Symbols. Abbreviations. Introduction by O. Schreer, P. Kauff, T. Sikora. SECTION I: APPLICATIONS OF 3D VIDEOCOMMUNICATION. 1. History of Telepresence (W.A. IJsselsteijn). 2. 3D TV broadcasting (C. Fehn). 3. 3D in Content Creation and Post-Production (O. Grau). 4. Free Viewpoint Systems (M. Tanimoto). 5. Immersive Videoconferencing (P. Kauff, O. Schreer). SECTION II: 3D DATA REPRESENTATION AND PROCESSING. 6. Fundamentals of Multiple View Geometry (E. Trucco, S. Ivekovic, A. Fusiello). 7. Stereo Analysis (N. Atzpadin, J. Mulligan). 8. Reconstruction of Volumetric 3D Models (P. Eisert). 9. View Synthesis and Rendering Methods (R. Koch, J.-F. Evers-Senne). 10. 3D Audio Capture and Analysis (M. Schwab, P. Noll). 11. Coding and Standardization (A. Smolic, Th. Sikora). SECTION III: 3D REPRODUCTION. 12. Human Factors of 3D Displays (W.A. IJsselsteijn, P.J.H. Seuntiens, L.M.J. Meesters). 13. 3D Displays (S. Pastoor). 14. Mixed Reality Displays (S. Pastoor, C. Conomis). 15. Spatialised Audio and 3D Audio Rendering (Th. Sporer, S. Brix). SECTION IV: 3D DATA SENSORS. 16. Sensor-Based Depth Capturing (Joao G.M. Goncalves, V. Sequeira). 17. Tracking and User Interface for Mixed Reality (T. Ebrahimi, Y. Abdeljaoued, D. Marimon). Index.
Explains how to turn frowns into smiles, daylight into night, and photographs into paintings, as well as how to enhance medical and astronomical images, on an IBM-compatible personal computer. Considers geometric transformations, arithmetic operations, filtering techniques, and edge detection for m
An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.
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