An Introduction to Nonlinear Image Processing

by Edward R. Dougherty, Jaakko T. Astola

From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary point of view, the name itself is usually associated with the study of nonlinear filters, mainly the deterministic and nondeterministic analysis and design of logic-based operators. This Tutorial Text volume explores logic-based operators with emphasis on representation, design, and statistical optimization of nonlinear filters.
- Basic Binary Operations
- Binary Filtering with Opening and Closing
- Representation of Binary Operators
- Gray-Scale Morphological Operators
- Median and Order Statistics
- Stack Filters
- Statistical Properties of Median-type and Stack Filters
- Optimization of Weighted Median Filters
- Optimal Binary Filters
- Some Particular Nonlinear Filters

192 pages, Paperback

First published February 1, 1994