Mathematical Morphology in Image Processing

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Overview

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 processing and mathematical morphology courses.

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Product Details

Table of Contents

About the Series
Preface
Contributors
1 Training Structuring Elements in Morphological Networks 1
2 Efficient Design Strategies for the Optimal Binary Digital Morphological Filter: Probabilities, Constraints, and Structuring-Element Libraries 43
3 Statistical Properties of Discrete Morphological Filters 93
4 Morphological Analysis of Pavement Surface Condition 121
5 On Two Inverse Problems in Mathematical Morphology 151
6 Graph Morphology in Image Analysis 171
7 Mathematical Morphology with Noncommutative Symmetry Groups 205
8 Morphological Algorithms 255
9 Discrete Half-Plane Morphology for Restricted Domains 289
10 On a Distance Function Approach for Gray-Level Mathematical Morphology 323
11 Invariant Characterizations and Pseudocharacterizations of Finite Multidimensional Sets Based on Mathematical Morphology 351
12 The Morphological Approach to Segmentation: The Watershed Transformation 433
13 Anamorphoses and Function Lattices (Multivalued Morphology) 483
Index 525
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