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Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.*Ideal module text for courses in artificial intelligence, image processing and computer vision*Essential reading for engineers and academics working in this cutting-edge field*Supported by free software on a companion website
beeldverwerking --- Artificial intelligence. Robotics. Simulation. Graphics --- visuele analyse --- grafische toepassingen (informatica) --- beelddigitalisering --- Image processing. --- Traitement d'images. --- Computer vision. --- Digital techniques. --- Image processing. Traitement d’images. --- Mathematics. --- Pattern recognition systems. --- Image processing --- Engineering & Applied Sciences --- Applied Physics --- Computer Science --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Image processing. Traitement d'images.
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This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, ""The main strength of the proposed book is the exemplar code of the algorithms."" Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral fi
Computers, Optical. --- Pattern perception. --- Computer vision. --- Computer vision --- Pattern recognition systems. --- Image processing --- Mathematics. --- Digital techniques. --- Digital image processing --- Digital electronics --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems
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Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Digital techniques. --- Digital image processing --- Digital electronics
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Computer vision. --- Image processing --- Digital techniques.
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This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.
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