Rough Fuzzy Image Analysis - Foundations and Methodologies

Informationen zum Autor Sankar K. Pal is the director and a distinguished scientist of the Indian Statistical Institute in Kolkata. James F. Peters is a professor in the Department of Electrical and Computer Engineering and group leader of the Computational Intelligence Laboratory at the University of Manitoba in Winnipeg, Canada. Klappentext Emphasizing the utility of fuzzy! near! and rough sets in image analysis! "Rough Fuzzy Image Analysis" introduces the fundamentals and applications in the state of the art of this type of image analysis. Zusammenfassung Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, this title introduces the fundamentals and applications in rough fuzzy image analysis. Inhaltsverzeichnis Cantor, Fuzzy, Near, and Rough Sets in Image Analysis. Rough Fuzzy Clustering Algorithm for Segmentation of Brain MR Images. Image Thresholding Using Generalized Rough Sets. Mathematical Morphology and Rough Sets. Rough Hybrid Scheme: An Application of Breast Cancer Imaging. Applications of Fuzzy Rule-Based Systems in Medical Image Understanding. Near Set Evaluation and Recognition (NEAR) System. Perceptual Systems Approach to Measuring Image Resemblance. From Tolerance Near Sets to Perceptual Image Analysis. Image Segmentation: A Rough-Set Theoretic Approach. Rough Fuzzy Measures in Image Segmentation and Analysis. Discovering Image Similarities: Tolerance Near Set Approach.

Détails du produit

• Auteurs: Sankar K. (Indian Statistical Institute Pal, Sankar K. Peters Pal
• Collaboration: Sankar K. Pal (Editeur), Pal Sankar K. (Editeur), James F. Peters (Editeur), Peters James F. (Editeur)
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 04.05.2010
• EAN: 9781439803295
• ISBN: 978-1-4398-0329-5
• Pages: 266
• Thème: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
• Catégories: Sciences naturelles, médecine, informatique, technique > Mathématiques > Autres; MATHEMATICS / General, MATHEMATICS / Graphic Methods, TECHNOLOGY & ENGINEERING / Imaging Systems, COMPUTERS / Machine Theory, Electrical Engineering, environmental science, engineering & technology, Applied mathematics, Image processing, Automatic control engineering, Environmental science, engineering and technology