Handbook of Computer Vision Algorithms in Image Algebra
โ Scribed by Gerhard X. Ritter, Joseph N. Wilson
- Publisher
- CRC Press
- Year
- 1996
- Tongue
- English
- Leaves
- 384
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The Second Edition of the best-selling Handbook of Computer Vision Algorithms in Image Algebra, 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 two new chapters on compression techniques and on geometric manipulation/spatial transformation and the addition of exercises to each chapter.
๐ SIMILAR VOLUMES
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 c
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 c
The Second Edition of the bestselling Handbook of Computer VisionAlgorithms in Image Algebra, 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 pr
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 c
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 c