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Designing digital image processing algorithms demands more than a knowledge of image processing procedures. This text is designed to provide a range of readers with a technical understanding of computer-based imaging systems and how these systems interact with digital image processing algorithms.

Presents the statistical analysis of morphological filters and their automatic optical design, the development of morphological features for image signatures, and the design of efficient morphological algorithms. Extends the morphological paradigm to include other branches of science and mathematics.;This book is designed to be of interest to optical, electrical and electronics, and electro-optic engineers, including image processing, signal processing, machine vision, and computer vision engineers, applied mathematicians, image analysts and scientists and graduate-level students in image...