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.

Table of Contents

Chapter 1: Acquiring Images
Chapter 2: Printing and Storage
Chapter 3: Human Vision
Chapter 4: Correcting Imaging Defects
Chapter 5: Image Enhancement in the Spatial Domain
Chapter 6: Processing Images in Frequency Space
Chapter 7: Segmentation and Thresholding
Chapter 8: Processing Binary Images
Chapter 9: Image Measurements
Chapter 10: Feature Measurements
Chapter 11: Characterizing Shape
Chapter 12: Correlation, Classification, Identification, and Matching
Chapter 13: 3D Imaging
Chapter 14: 3D Processing and Measurement
Chapter 15: Imaging Surfaces