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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.
Table des matières
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. Discrete Half-Plane Morphology for Restricted Domains
Tapas Kanungo and Robert M. Haralick
10. On a Distance Function Approach for Gray-Level Mathematical
Morphology
Franq,oise Preteux
11. Invariant Characterizations and Pseudocharacterizations of Finite
Multidimensional Sets Based on Mathematical Morphology
Divyendu Sinha and Hanjin Lee
12. The Morphological Approach to Segmentation: The Watershed
Transformation
S. Beucher and F. Meyer
13. Anamorphoses and Function Lattices (Multivalued Morphology)
Jean Serra
Index
A propos de l'auteur
Dougherty, Edward
Résumé
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.
