Fuzzy Techniques in Image Processing / Edition 1by Etienne E. Kerre
The volume "Fuzzy Techniques in Image Processing" illustrates 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… See more details below
The volume "Fuzzy Techniques in Image Processing" illustrates 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 ContentsPreface.- Part I: Fuzzy Mathematical Morphology.- M. Nachtegael, E.E. Kerre: Classical and Fuzzy Approaches towards Mathematical Morphology.- B. De Baets: Generalized Idempotence in Fuzzy Mathematical Morphology.- E.R.. Dougherty, A.T. Popov: Fuzzy Mathematical Morphology Based on Fuzzy Inclusion.- I. Bloch: Fuzzy Mathematical Morphology and Derived Spatial Relationships.- Part II: Fuzzy Image Filtering: H.R. Tizhoosh: Fuzzy Image Enhancement: An Overview.- C.-S. Lee, Y.-H. Kuo: Adaptive Fuzzy Filter and Its Application to Image Enhancement.- F. Farbiz, M. Bagher Menhaj: A Fuzzy Logic Control Based Approach for Image Filtering.- K. Arakawa: Fuzzy Rule-Based Image Processing with Optimization.- C. Vertan, V. Buzuloiu: Fuzzy Nonlinear Filtering of Color Images: A Survey.- Part III: Applications of Fuzzy Techniques in Image Processing: L. Hildebrand, B. Reusch: Fuzzy Color Processing.- Z. Lu, Z. Chi, P. Shi, E.K. Teoh: Ranking Segmentation Paths Using Fuzzified Decision Rules.- A. Rick, S. Bothorel, B. Bouchon-Meunier, S. Muller, M. Rifqi: Fuzzy Techniques in Mammographic Image Processing.- D. Van De Ville, W. Philips, I. Lemahieu: Fuzzy-Based Motion Detection and Its Application to De-Interlacing.- A. Knoll, J. Zhang, T. Graf, A. Wolfram: Object Recognition and Visual Servoing: Two Case Studies of Employing Fuzzy Techniques in Robot Vision.- A. Nakamura, A. Rosenfeld: Topology-Preserving Deformations of Fuzzy Digital Pictures.- Appendix: Color Images of Chapter 9 and 10.- Index.-
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