Title :
A Time Adaptive Self-Organizing Map for Segmenting Color Images into Exactly Two Regions
Author :
Shah-Hosseini, Hamed
Author_Institution :
Dept. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran
Abstract :
In this paper, a color image segmentation algorithm called "bicolor TASOM" is proposed for segmenting color images into two regions, figure and background. The algorithm uses a modified version of TASOM (time adaptive self-organizing map) network to model the color space. Then, two other algorithms called "real valley algorithm" and "color assignment algorithm" use the neurons of the TASOM network for image segmentation. Bicolor TASOM is tested with synthetic and real color images. The results demonstrate correctness and capability of the proposed algorithm for color image segmentation
Keywords :
image colour analysis; image segmentation; self-adjusting systems; self-organising feature maps; time-varying systems; background color image region; bicolor time adaptive self-organizing map; color assignment algorithm; color image segmentation; color space model; figure color image region; real valley algorithm; Color; Image segmentation; Intelligent systems; Noise level;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.81
