DocumentCode
3027093
Title
About the use of fuzzy clustering for texture classification
Author
Stolpmann, Alexander ; Dooley, Laurence S.
Author_Institution
Fachbereich Inf., Wolfenbuttel, Germany
fYear
1999
fDate
36342
Firstpage
670
Lastpage
674
Abstract
This paper describes the use of a complex modular image processing system for texture classification. An introduction into problems that arise when handling textures is given. Furthermore the modules of the proposed system are described, namely the filtering and statistical modules, automatic feature vector optimization module and the classification module using clustering and fuzzy clustering methods. This texture classification system can easily be adapted for other tasks, including tasks in the field of medical imaging, remote sensing and quality control
Keywords
computer vision; fuzzy logic; image classification; image processing; automatic feature vector optimization module; classification module; complex modular image processing system; filtering; fuzzy clustering; medical imaging; quality control; remote sensing; statistical modules; texture classification; Biomedical imaging; Clouds; Filtering; Genetic algorithms; Laboratories; Machine vision; Object recognition; Quality control; Remote sensing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location
New York, NY
Print_ISBN
0-7803-5211-4
Type
conf
DOI
10.1109/NAFIPS.1999.781778
Filename
781778
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