Description
Book SynopsisConsistently 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
Trade Review
"With a new co-author (the same Brent Neal who has collaborated with him before in writing the excellent book Measuring Shape), John Russ has again produced a winner—a textbook and reference book that belongs on the shelf, and perhaps on the desk, of anyone involved in digital imaging. Even if you have a copy of one of the previous editions, this is a highly worthwhile addition."
—Microscopy and Microanalysis, October 2016
Table of Contents
Introduction. Acquiring Images. Printing and Storage. Human Vision. Correcting Imaging Defects. Image Enhancement in the Spatial Domain. Processing Images in Frequency Space. Segmentation and Thresholding. Processing Binary Images. Image Measurements. Feature Measurements. Characterizing Shape. Correlation, Classification, Identification, and Matching. 3D Imaging. 3D Processing and Measurement. Imaging Surfaces. References.
