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9783540004653

Fuzzy Filters for Image Processing

by ; ; ;
  • ISBN13:

    9783540004653

  • ISBN10:

    3540004653

  • Format: Hardcover
  • Copyright: 2003-07-01
  • Publisher: Springer Verlag
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Summary

This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation , image enhancement and further specific applications of fuzzy filters. It is demonstrated how soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to this problems. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field.

Table of Contents

List of Contributors XIII
Part I. Fuzzy Filters for Noise Reduction
1. Fuzzy Filters for Noise Removal
3(22)
Manuel Guillermo Forero-Vargas and Leonardo Javier Delgado-Rangel
1 Introduction
6
2 Fuzzy filters
4(14)
3 Extension to color of gray level fuzzy filters
18(1)
4 Applications
18(4)
5 Conclusion
22(2)
References
24(1)
2. Fuzzy Filters for Noise Reduction in Images
25(29)
Hon Kenng Kwan
1 Introduction
25(3)
2 Definitions of fuzzy filters
28(4)
3 Simulations and results
32(1)
4 Concluding remarks
33(7)
References
40(14)
3. Real-time Image Noise Cancellation Based on Fuzzy Similarity
54(18)
Ivan Kalaykov and Gustav Tolt
1 Introduction
54(3)
2 Fuzzy-similarity-based noise cancellation
57(7)
3 Experiments
64(4)
4 Hardware implementation of FSB filters
68(2)
5 Conclusions
70(1)
References
71(1)
4. Fuzzy Rule-Based Color Filtering Using Statistical Indices
72(29)
Spiros Fotopoulos, Antony Fotinos and Socrates Makrogiannis
1 Introduction
72(2)
2 Principles of the filtering method
74(4)
3 The proposed fuzzy color filters
78(14)
4 Experimental results
92(4)
References
96(5)
Part II. Fuzzy Filters for Edge Detection and Segmentation
5. Fuzzy Based Image Segmentation
101(28)
Otman Basir, Hongwei Zhn and Fakhri Karray
1 Introduction
101(2)
2 Fuzzy approaches for image segmentation
103(7)
3 A robust fuzzy integral based image segmentation
110(10)
4 Experimental results
120(3)
5 Conclusions
123(2)
References
125(4)
6. Fuzzy Thresholding and Histogram Analysis
129(24)
Manuel Guillermo Forero-Vargas
1 Introduction
129(1)
2 Membership function
130(3)
3 Degree of fuzziness
133(3)
4 Unified formulation
136(4)
5 Threshold determination
140(3)
6 Applications
143(4)
7 Multilevel luminance thresholding
147(1)
8 Color processing
148(1)
9 Color application
149(1)
10 Conclusion
150(1)
References
151(2)
7. Color Image Segmentation by Analysis of 3D Histogram with Fuzzy Morphological Filters
153(25)
Aymeric Gillet, Ludovic Macaire, Claudine Botte-Lecocq and Jack-Gerard Postaire
1 Introduction
153(3)
2 Fuzzy subset extracted from the 3D color histogram
156(2)
3 Mode detection by fuzzy morphological filters
158(10)
4 Experimental results
168(6)
5 Conclusion
174(2)
References
176(2)
8. Fast and Robust Fuzzy Edge Detection
178(17)
Hamid R. Tizhoosh
1 Introduction
178(1)
2 Existing fuzzy edge detectors
179(1)
3 Images as fuzzy sets
180(1)
4 Heuristic membership functions
181(1)
5 From membership functions to rules
182(1)
6 Fuzzy complement-cased edge detection
183(5)
7 Robust estimation of degree of edginess
188(4)
8 Conclusions
192(1)
References
193(2)
9. Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation
195(24)
Spyros Ioannou, Yannis Avrithis, Giorgos Stamou and Stefanos Kollias
1 Introduction
195(3)
2 The proposed system architecture
198(3)
3 Fuzzy segmentation fusion
201(4)
4 Simulation results
205(3)
5 Conclusions
208(2)
References
210(9)
Part III. Fuzzy Filters for Image Enhancement
10. Fuzzy Image Enhancement in the Framework of Logarithmic Models
219(19)
Vasile Patrascu, Vasile Buzuloiu and Constantin Vertan
1 Introduction
219(1)
2 The fundamentals of the logarithmic model
220(4)
3 Image fuzzification
224(4)
4 Gray level image enhancement by affine transforms
228(3)
5 Color image enhancement by affine transforms
231(4)
6 Conclusions
235(1)
References
236(2)
11. Observer-Dependent Image Enhancement
238(35)
Hamid R. Tizhoosh
1 Introduction
238(3)
2 Communication model of image understanding
241(1)
3 Necessary requirements
242(2)
4 Structure of an observer-dependent system
244(11)
5 Experimental verification of system performance
255(13)
6 Possibilities for performance increase
268(1)
References
268(5)
Part IV. Specific Applications of Fuzzy Filters
12. Fuzzy Techniques in Digital Image Processing and Shape Analysis
273(33)
Vassilios Chatzis and Ioannis Piles
1 Fuzzy estimators and fuzzy filters
273(10)
2 Fuzzy cell Hough transform
283(9)
3 Generalized fuzzy mathematical morphology
292(9)
4 Conclusions
301(2)
References
303(3)
13. Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking
306(33)
Mohammad B. Menhaj
1 Introduction
306(1)
2 Preliminaries
307(4)
3 Kalman-Based filter designs
311(1)
4 The adaptive fuzzy filters
312(20)
5 Conclusion
332(1)
References
333(6)
14. Lossy Image Compression and Reconstruction Based on Fuzzy Relational Equation
339(17)
Hajime Nobuhara, Yasafumi Takama, Witold Pedrycz, Kaoru Hirota
1 Introduction
339(1)
2 Image compression method based on fuzzy relational equation (ICF)
340(5)
3 Fast image reconstruction method of ICF
345(1)
4 Improvement of quality of reconstructed image
346(4)
5 Additional features of ICF
350(2)
6 Conclusions
352(1)
References
353(3)
15. Avoidance of Highlights through ILFOs in Automated Visual Inspection
356(16)
Aureli Soria-Frisch
1 Introduction
356(1)
2 Intelligent localized fusion operators (ILFOs)
357(4)
3 Automated determination of fuzzy measures in ILFOs
361(1)
4 Highlights filtering through ILFOs
362(3)
5 Automated visual inspection: application report
365(4)
6 Conclusions
369(2)
References
371(1)
Appendix Color Images 372(12)
Index 384

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