A Pyramid Framework for Early Vision

By: Azriel Rosenfeld, Jean-Michel Jolion

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Hardcover
236 Pages

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23.0 x 15.6 x 1.42

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Biological visual systems employ massively parallel processing to perform real-world visual tasks in real time. A key to this remarkable performance seems to be that biological systems construct representations of their visual image data at multiple scales.
A Pyramid Framework for Early Vision describes a multiscale, or 'pyramid', approach to vision, including its theoretical foundations, a set of pyramid-based modules for image processing, object detection, texture discrimination, contour detection and processing, feature detection and description, and motion detection and tracking. It also shows how these modules can be implemented very efficiently on hypercube-connected processor networks.
The volume is intended for both students of vision and vision system designers; it provides a general approach to vision systems design as well as a set of robust, efficient vision modules.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Engineering & Technology Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering Robotics Graphical & Digital Media Applications

Introduction	p. 1
Hierarchical Frameworks for Early Vision	p. 6
Hierarchical processing	p. 6
Hierarchical multiresolution	p. 19
The pyramid architecture	p. 37
Pyramid Based Visual Modules	p. 62
Introduction	p. 62
Preprocessing and enhancement	p. 64
Subpopulation and cluster detection	p. 77
Region detection and delineation: connected components	p. 102
Region detection and delineation: compact regions	p. 109
Contour representation and extraction	p. 126
Textured images	p. 143
Dynamic images	p. 157
Integration and Extensions	p. 170
Integration of visual modules	p. 170
Extensions	p. 174
The data driven pyramid	p. 178
Conclusions	p. 184
References	p. 187
Index	p. 216
Table of Contents provided by Blackwell. All Rights Reserved.

A Pyramid Framework for Early Vision

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Hardcover

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