The Image Processing Handbook, 7th Edition

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: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500 entirely new figures and images, with more than two-thirds appearing in color 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. Cover 1 Contents 6 Introduction 14 1: Acquiring Images 20 2: Printing and Storage 66 3: Human Vision 120 4: Correcting Imaging Defects 182 5: Image Enhancement in the Spatial Domain 262 6: Processing Images in Frequency Space 340 7: Segmentation and Thresholding 400 8: Processing Binary Images 458 9: Image Measurements 524 10: Feature Measurements 578 11: Characterizing Shape 638 12: Correlation, Classification, Identification, and Matching 702 13: 3D Imaging 768 14: 3D Processing and Measurement 838 15: Imaging Surfaces 910 References 976