Title :
Applications of genetic algorithms, geostatistics, and fuzzy c-means clustering to image segmentation
Author :
Pham, T. ; Wagner, M. ; Clark, D.
Author_Institution :
ADA Inc., Ottawa, Ont., Canada
Abstract :
We apply different advantages of the optimal genetic searching, geostatistics, and fuzzy c-means clustering to the segmentation of gray-level images. The proposed method can deal effectively with noisy image segmentation
Keywords :
fuzzy logic; genetic algorithms; image segmentation; pattern clustering; fuzzy c-means clustering; genetic algorithms; geostatistics; gray-level images; image segmentation; noisy image segmentation; optimal genetic searching; Australia; Clustering algorithms; Electronic mail; Equations; Fuzzy sets; Genetic algorithms; Image edge detection; Image segmentation; Pixel; Virtual colonoscopy;
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
DOI :
10.1109/CEC.2001.934263
