Mathematical Morphology in Image Processing [Hardcover]

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.

About the Series

Preface

Contributors

1. Training Structuring Elements in Morphological Networks

Stephen S. Wilson

2. Efficient Design Strategies for the Optimal Binary Digital Morphological

Filter: Probabilities, Constraints, and Structuring-Element

Libraries

Edward R. Dougherty and Robert P. Loce

3. Statistical Properties of Discrete Morphological Filters

Jaakko Astola, Lasse Koskinen, and Yrjo Neuvo

4. Morphological Analysis of Pavement Surface Condition

Chakravarthy Bhagvati, Dimitri A. Grivas, and

Michael M. Skolnick

5.On Two Inverse Problems in Mathematical Morphology

Michel Schmitt

6.Graph Morphology in Image Analysis

Henk Heijmans and Luc Vincent

7. Mathematical Morphology with Noncommutative Symmetry Groups

Jos B. T. M. Roerdink

8. Morphological Algorithms

Luc Vincent

9. Discretl%