Issues in Digital Image Processing

This book includes some of the main lectures given at the Nato Advanced Study Institute which was held in Bonas, France in 1978. The book is organized in 4 sections: Filtering, Neighbor- hood Operators, Discrete and Probabilistic Relaxation, and Appli- cations. Because digital filtering is well understood we cover it only briefly. The section on Boolean Neighborhood Operators restricts itself to handling only those suitable in a highly paral- lel hardware implementation. The section on Discrete and Probabil- istic Relaxation presents material which has been recently intro- duced into digital image processing. Applications include various matching processes as well as cooperative algorithms for edge en- hancement and clustering. The final section on applications in- cludes a variety of topics in remote sensing, physics, medicine, and clustering. VII TABLE OF CONTENTS I. FILTERING 1 James Crowley and Alice Parker Transfer Function Analysis of Picture Processing Operators 3 V. Cappellini Enhancement, Filtering and Preprocessing Techniques 31 II. NEIGHBORHOOD OPERATORS 51 V. Goetcherian CLIP--A User's Viewpoint 53 J.
Serra Principles, Criteria and Algorithms in Mathematical Morphology 73 Christian Lantuejoul Skeletonization in Quantitative Metallography 107 III. DISCRETE AND PROBABILISTIC RELAXATION 137 J. R. Ullmann A Relational View of Text Image Processing 139 Larry Davis Cooperative Processes 171 VIII Steven W. Zucker Local Structure, Consistency and Continuous Relaxation 195 Robert M. Haralick Scene Matching Methods 221 IV. APPLICATIONS 245 J. O. Thomas Digital Imagery Processing--With Special Reference to Data Compression in Remote Sensing 247 Jack Sklansky Biomedical Image Analysis 291 Philip H.