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Fuzzy Filters for Image Processing
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Librairie Eyrolles - Paris 5e
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Fuzzy Filters for Image Processing

Fuzzy Filters for Image Processing

Mike Nachtegael, Dietrich Van der Weken, Dimitri Van de Ville, Etienne E. Kerre

400 pages, parution le 31/03/2003

Résumé

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.

Contents

Fuzzy Filters for Noise Reduction
  • Fuzzy Filters for Noise Removal
  • Fuzzy Filters for Noise Reduction in Images
  • Real-Time Image Noise Cancellation Based on Fuzzy Similarity
  • Fuzzy Rule-Based Color Filtering Using Statistical Indices
Fuzzy Filters for Edge Detection and Segmentation
  • Fuzzy Based Image Segmentation
  • Fuzzy Thresholding and Histogram Analysis
  • Color Image Segmentation by Analysis of 3D Histogram with Fuzzy Morphological Filters
  • Fast and Robust Fuzzy Edge Detection
  • Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation
Fuzzy Filters for Image Enhancement.- Specific Applications of Fuzzy Filters.
  • Fuzzy Image Enhancement in the Framework of Logarithmic Models
  • Observer-Dependent Image Enhancement
Specific Applications of Fuzzy Filters
  • Fuzzy Techniques in Digital Image Processing and Shape Analysis
  • Adaptive Fuzzy Filters And Their Application to Online Maneuvering Target Tracking
  • Lossy Image Compression and Reconstruction Based on Fuzzy Relational Equation
  • Avoidance of Highlights through ILFOs in Automated Visual Inspection

L'auteur - Mike Nachtegael

University of Gent, Belgium

L'auteur - Dietrich Van der Weken

University of Gent, Belgium

L'auteur - Dimitri Van de Ville

University of Gent, Belgium

L'auteur - Etienne E. Kerre

University of Gent, Belgium (Eds.)

Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Mike Nachtegael, Dietrich Van der Weken, Dimitri Van de Ville, Etienne E. Kerre
Parution 31/03/2003
Nb. de pages 400
Format 16 x 24
Couverture Relié
Poids 690g
Intérieur Noir et Blanc
EAN13 9783540004653

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