rent-now

Rent More, Save More! Use code: ECRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

9783790813043

Fuzzy Techniques in Image Processing

by ;
  • ISBN13:

    9783790813043

  • ISBN10:

    3790813044

  • Format: Hardcover
  • Copyright: 2000-07-01
  • Publisher: Physica Verlag
  • Purchase Benefits
  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
  • Write a Review Icon Write a Review
List Price: $199.99 Save up to $142.75
  • Digital
    $124.02*
    Add to Cart

    DURATION
    PRICE
    *To support the delivery of the digital material to you, a digital delivery fee of $3.99 will be charged on each digital item.

Summary

The volume Fuzzy Techniques in Image Processingillustrates the successful application of fuzzy set theory in the area of image processing, and represents a broad, up-to-date and state-of-the-art coverage of diverse aspects related to fuzzy techniques in image processing. Besides an extensive state-of-the-art contribution on fuzzy mathematical morphology we present several contributions on a wide variety of topics, including fuzzy filtering, fuzzy image enhancement, fuzzy edge detection, fuzzy image segmentation, fuzzy processing of color images, and applications in medical imaging and robot vision. All chapters are written by outstanding experts in the field, and are characterized by their originality and high-quality standard. Therefore, the book will not only serve as an important reference for scientists and practitioners in this area, but also as an inspiration for newcoming researchers.

Table of Contents

Preface v
Contents ix
List of Contributors
xv
Part I. Fuzzy Mathematical Morphology
Classical and Fuzzy Approaches towards Mathematical Morphology
3(55)
Mike Nachtegael
Etienne E. Kerre
Introduction
3(1)
Binary mathematical morphology
4(11)
Gray-scale morphology based on the threshold approach
15(5)
Gray-scale morphology based on the umbra approach
20(7)
Fuzzy mathematical morphology: the general framework
27(16)
Fuzzy mathematical morphology: approach of Bloch & Maitre
43(1)
Fuzzy mathematical morphology: approach of Minkowski addition
43(2)
Fuzzy mathematical morphology: approach of subset inclusion
45(9)
Schematic overview of the different approaches towards fuzzy mathematical morphology
54(1)
Bibliographical remarks
54(4)
References
56(2)
Generalized Idempotence in Fuzzy Mathematical Morphology
58(18)
Bernard De Baets
Generalized idempotence in binary morphology
58(2)
Fuzzy morphology: a logical approach
60(3)
Residual operators of triangular norms
63(3)
Fuzzy morphology with triangular norms and residual implicators
66(1)
Idempotent fuzzy closing and fuzzy opening operations
67(1)
Open and closed fuzzy objects
68(8)
References
73(3)
Fuzzy Mathematical Morphology Based on Fuzzy Inclusion
76(25)
Edward R. Dougherty
Antony T. Popov
Introduction
76(1)
Binary mathematical morphology and the abstract lattice theory
77(4)
Fuzzy morphological operations based on inclusion indicators
81(7)
Algorithms
88(3)
Morphological representation
91(6)
Indicators of approximate convexity
97(4)
References
98(3)
Fuzzy Mathematical Morphology and Derived Spatial Relationships
101(36)
Isabelle Bloch
Introduction
101(2)
Definition of basic fuzzy mathematical morphology operators
103(10)
Fuzzy distances derived from fuzzy dilation
113(7)
Fuzzy adjacency from fuzzy dilation and set operations
120(4)
Fuzzy directional relative position from conditional fuzzy dilation
124(6)
Concluding remarks
130(7)
References
131(6)
Part II. Fuzzy Image Filtering
Fuzzy Image Enhancement: An Overview
137(35)
Hamid R. Tizhoosh
Introduction
137(1)
Framework of fuzzy image processing
138(2)
Fuzzy contrast/brightness adaptation
140(12)
Fuzzy filtering
152(10)
Subjectivity and image enhancement
162(5)
Future view
167(5)
References
168(4)
Adaptive Fuzzy Filter and Its Application to Image Enhancement
172(22)
Chang-Shing Lee
Yau-Hwang Kuo
Introduction
172(2)
Adaptive weighted fuzzy mean filter
174(7)
Extended AWFM filter for edge enhancement
181(4)
Properties of EAWFM filter
185(2)
Experimental results
187(2)
Conclusion
189(5)
References
190(4)
A Fuzzy Logic Control Based Approach for Image Filtering
194(28)
Farzam Farbiz
Mohammad Bagher Menhaj
Introduction
194(3)
The iterative fuzzy control based filter - IFCF
197(8)
Smoothing fuzzy control based filter - SFCF
205(7)
The fixed point fuzzy control based filter - FFCF
212(1)
Adaptive fixed point fuzzy control based filter - AFCF
213(1)
The adaptive C-average fuzzy control based filter - ACFCF
213(6)
Conclusion
219(1)
Acknowledgments
220(2)
References
220(2)
Fuzzy Rule-Based Image Processing with Optimization
222(26)
Kaoru Arakawa
Introduction
222(1)
Principles of fuzzy rule-based image processing
223(8)
Fuzzy rule-based systems for noise removal
231(7)
Fuzzy rule-based processing for edge extraction
238(6)
Concluding remarks
244(4)
References
246(2)
Fuzzy Nonlinear Filtering of Color Images: A Survey
248(19)
Constantin Vertan
Vasile Buzuloiu
Introduction
248(3)
Crude or pseudo-fuzzy approaches
251(4)
Fuzzy paradigm based filters
255(2)
Fuzzy aggregative filters
257(2)
Fuzzy inferential filters
259(3)
Conclusions and comments
262(5)
References
262(5)
Part III. Applications of Fuzzy Techniques in Image Processing
Fuzzy Color Processing
267(20)
Lars Hildebrand
Bernd Reusch
The human vision system
267(1)
Color models
268(8)
Fuzzy color processing
276(3)
Example: analysis of welding points
279(6)
Summary
285(2)
References
285(2)
Ranking Segmentation Paths Using Fuzzified Decision Rules
287(21)
Zhongkang Lu
Zheru Chi
Pengfei Shi
Eam Khwang Teoh
Introduction
287(1)
Relevant techniques
288(8)
Properties of a segmentation path
296(2)
Fuzzified decision rules
298(3)
Defuzzification
301(1)
Experimental results and discussion
301(3)
Conclusion
304(4)
References
305(3)
Fuzzy Techniques in Mammographic Image Processing
308(29)
Andreas Rick
Sylvie Bothorel
Bernadette Bouchon-Meunier
Serge Muller
Maria Rifqi
Introduction
308(2)
Fuzzy contours and fuzzy measurements
310(3)
Adaptive membership functions
313(6)
Comparison measures and prototypes for image processing
319(6)
Computer-aided diagnosis for mammography
325(4)
3D reconstruction of microcalcification clusters
329(5)
Conclusion
334(3)
References
334(3)
Fuzzy-Based Motion Detection and Its Application to De-Interlacing
337(33)
Dimitri Van De Ville
Wilfried Philips
Ignace Lemahieu
Introduction
337(2)
Fuzzy motion detection
339(13)
Application to de-interlacing
352(15)
Conclusions
367(3)
References
368(2)
Object Recognition and Visual Servoing: Two Case Studies of Employing Fuzzy Techniques in Robot Vision
370(24)
Alois Knoll
Jianwei Zhang
Thorsten Graf
Andre Wolfram
Introduction
370(3)
Recognition through fuzzy invariant indexing
373(7)
Fine-positioning and object grasping: turning visual observations into action
380(9)
A complete recognition-grasping example
389(2)
Conclusions
391(3)
References
392(2)
Topology-Preserving Deformations of Fuzzy Digital Pictures
394(11)
Akira Nakamura
Azriel Rosenfeld
Introduction
394(1)
Basic definitions
395(2)
Simple points
397(2)
Simple deformations
399(2)
Genus
401(4)
References
404(1)
Appendix: Color Images of Chapters 9 and 10 405(4)
Index 409

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program