Homogenous Region based Color Image Segmentation
نویسندگان
چکیده
Abstract—In this paper an unsupervised color image segmentation method is suggested. Color image segmentation is an important but still open problem in image processing. At first, FCM is applied to the image and the cluster centers are obtained. Quite similar to the famous TSK fuzzy control model, we form several rules (IF-THEN like) for pixel classification. The results obtained from the rules are plotted as a histogram. An effective histogram peak detection and valley extraction (PDVE) algorithm is applied to the histogram and thresholds are extracted from the histogram for segmentation. The method is unsupervised and no prior knowledge of number of regions to be segmented is required. The experimental results show that the proposed approach can find homogeneous areas effectively, and with high accuracy.
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