Buch, Englisch, 444 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1024 g
Buch, Englisch, 444 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1024 g
ISBN: 978-0-8493-0075-2
Verlag: CRC Press
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.
Zielgruppe
Professional
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Image Algebra. Image Enhancement Techniques. Edge Detection and Boundary Finding Techniques. Thresholding Techniques. Thinning and Skeletonizing. Connected Component Algorithms. Morphological Transforms and Techniques. Linear Image Transforms. Pattern Matching and Shape Detection. Image Features and Descriptors. Geometric Image Transformation. Neural Networks and Cellular Automata. Appendix: The Image Algebra C++ Library. Index.
