ABSTRACT

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

chapter 1|54 pages

IMAGE ALGEBRA

chapter 2|30 pages

IMAGE ENHANCEMENT TECHNIQUES

chapter 4|18 pages

THRESHOLDING TECHNIQUES

chapter 5|18 pages

THINNING AND SKELETONIZING

chapter 6|14 pages

CONNECTED COMPONENT ALGORITHMS

chapter 7|18 pages

MORPHOLOGICAL TRANSFORS AND TECHNIQUES

chapter 8|38 pages

LINEAR IMAGE TRANSFORMS

chapter 9|32 pages

PATTERN MATCHING AND SHAPE DETECTION

chapter 10|34 pages

IMAGE FEATURES AND DESCRIPTORS

chapter 11|24 pages

GEOMETRIC IMAGE TRANSFORMATIONS

chapter 12|34 pages

NEURAL NETWORKS AND CELLULAR AUTOMATA