- Hardcover: 448 pages
- Publisher: CRC Press; 2 edition (Sep 21 2000)
- Language: English
- ISBN-10: 0849300754
- ISBN-13: 978-0849300752
- Product Dimensions: 2.6 x 1.8 x 0.3 cm
- Shipping Weight: 1.1 Kg
- Amazon Bestsellers Rank: #2,271,921 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Details |
Product Description
Review
Every person who uses computer image processing...who is planning to use image processing...who is involved in the purchase of computer systems or software that involve image processing...should read this book. And if you are not in one of the above groups, you might want to read it anyway.
- Microscopy Research and Technique
- Microscopy Research and Technique
Product Description
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.
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.
Inside This Book
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First Sentence
Since the field of image algebra is a recent development it will be instructive to provide some background information. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index
Since the field of image algebra is a recent development it will be instructive to provide some background information. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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