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By: (Author) F. Brent Neal , (Author) John C. Russ
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This book delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes. The seventh edition features a greater range of computationally intensive algorithms. It provides better organization, more quantitative results, and new material on recent developments. It includes revamped chapters on 3D imaging and statistical analysis, as well as 1700+ references to theory, methods, and applications in a variety of disciplines. It also presents 500+ new figures and images, with more than two-thirds appearing in color.
Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more.
Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition:
The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.
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