Title :
About the use of fuzzy clustering for texture classification
Author :
Stolpmann, Alexander ; Dooley, Laurence S.
Author_Institution :
Fachbereich Inf., Wolfenbuttel, Germany
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;
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
DOI :
10.1109/NAFIPS.1999.781778