An Introduction to Nonlinear Image Processing

Front Cover
SPIE Press, 1994 - Technology & Engineering - 182 pages
0 Reviews
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.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Binary Filtering with Opening and Closing
17
Representation of Binary Operators
44
GrayScale Morphological Operators
57
Median and Order Statistics
75
Stack Filters
88
Optimization of Weighted Median Filters
111
Some Particular Nonlinear Filters
142
Bibliography
158
Index
181
Copyright

Common terms and phrases

Popular passages

Page 175 - A. Nieminen, P. Heinonen and Y. Neuvo, "A new class of detail preserving filters for image processing,
Page 170 - The algebraic basis of mathematical morphology II. Openings and closings," Computer Vision, Graphics, and Image Processing: Image Understanding, vol.
Page 170 - Computer Vision, Graphics, and Image Processing—Image Understanding, Vol. 55, No. 1 (1992). 45. C. Giardina and E. Dougherty, Morphological Methods in Image and Signal Processing, Prentice-Hall (1988). 46. H. Heijmans and C. Ronse, "The algebraic basis of mathematical morphology, I. Dilations and erosions," Computer Vision, Graphics, and Image Processing, Vol.
Page 173 - ... Vision, Graphics, and Image Processing - Image Understanding, Vol. 55, No. 1, January, 1992. 3. Loce, RP, and Dougherty, ER, "Facilitation of Optimal Binary Morphological Filter Design Via Structuring-Element Libraries and Observation Constraints," Optical Engineering, Vol. 31, No. 5, May, 1992. 4. Loce, RP, and Dougherty, ER, "Optimal Morphological Restoration: The Morphological Filter Mean-Absolute-Error Theorem," Visual Communication and Image Representation, Vol.

References to this book

All Book Search results »

About the author (1994)

Edward R. Dougherty is a Professor and Director of the Genomic Signal Processing Laboratory at Texas A & M University, College Station, TX. He is also Co-Director of the Computational Biology Division of the Translational Genomics Research Institute, Phoenix, AZ.

Tampere University of Technology, Finland

Bibliographic information