Title :
Fusion of rough set theoretic approximations and FCM for color image segmentation
Author :
Mohabey, Akash ; Ray, A.K.
Author_Institution :
Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, India
Abstract :
A new technique applying the fusion of rough set theoretic approximations and fuzzy C-means algorithm for color image segmentation is presented. The aim of the technique is to segment natural images with regions having gradual variations in color value. The technique extracts color information regarding the number of segments and the segments center values from the image itself through rough set theoretic approximations and presents it as input to FCM block for the soft evaluation of the segments. The performance of the algorithm has been evaluated on various natural and simulated images
Keywords :
feature extraction; fuzzy logic; fuzzy set theory; image colour analysis; image segmentation; rough set theory; FCM block; color image segmentation; color information extraction; color value; fuzzy C-means algorithm; gradual variations; natural images; rough set theoretic approximations; simulated images; soft evaluation; Clustering algorithms; Data mining; Data visualization; Fuzzy sets; Humans; Image color analysis; Image processing; Image segmentation; Partitioning algorithms; Set theory;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.886073
