Title :
Histogram based fuzzy Kohonen clustering network for image segmentation
Author :
Atmaca, Hamdi ; Bulut, Mehmet ; Demir, Derya
Author_Institution :
Dept. of Electr.-Electron., Dumlupinar Univ., Kutahya, Turkey
Abstract :
A fuzzy Kohonen (1989) clustering network (FKCN) algorithm is proposed for image segmentation. Large image sizes are in general required for various types of imaging applications. For a large amount of data, computation of the FKCN algorithm for iterative operation will take a long time. Therefore, an attempt has been made to make the FKCN algorithm realistically useful for image segmentation. The proposed FKCN algorithm keeps its advantages, but instead of using the image space, a gray level function of the image was used for all imaging data. A new algorithm was developed which provided good results in the short time taken for image segmentation
Keywords :
fuzzy systems; image segmentation; self-organising feature maps; algorithm; fuzzy Kohonen clustering network; gray level function; histogram; image segmentation; image size; imaging applications; imaging data; iterative operation; Clustering algorithms; Computer networks; Electronic mail; Histograms; Image segmentation; Iterative algorithms; Layout; Partitioning algorithms; Pattern recognition; Pixel;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.561062
