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Title: HANDBOOK OF COMPUTER VISION ALGORITHMS IN IMAGE ALGEBRA
By: Gerhard X. Ritter, Joseph N. Wilson
Format: Hardback

List price: £215.00
Our price: £193.50
Discount:
10% off
You save: £21.50
ISBN 10: 0849300754
ISBN 13: 9780849300752
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS INC
Pub. date: 21 September, 2000
Edition: 2nd Revised edition
Pages: 448
Description: Describes more than 80 fundamental computer vision techniques and introduces the portable iaC++ library, which supports image algebra programming in the C++ language. This book includes a chapter on geometric manipulation and spatial transformation, and several algorithms.
Synopsis: Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation of computer vision algorithms. Updated to reflect recent developments and advances, the second edition continues to provide an outstanding introduction to image algebra. It describes more than 80 fundamental computer vision techniques and introduces the portable iaC++ library, which supports image algebra programming in the C++ language. Revisions to the first edition include a new chapter on geometric manipulation and spatial transformation, several additional algorithms, and the addition of exercises to each chapter. The authors-both instrumental in the groundbreaking development of image algebra-introduce each technique with a brief discussion of its purpose and methodology, then provide its precise mathematical formulation.In addition to furnishing the simple yet powerful utility of image algebra, the Handbook of Computer Vision Algorithms in Image Algebra supplies the core of knowledge all computer vision practitioners need. It offers a more practical, less esoteric presentation than those found in research publications that will soon earn it a prime location on your reference shelf.
Illustrations: 33 black & white tables
Publication: US
Imprint: CRC Press Inc
Returns: Returnable
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