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This paper presents a comparative study of the segmentation of satellite images in RGB and HSV color space using modified fuzzy c means clustering algorithm. The segmented images are compared with the original input images by using number of bivariate image quality parameters. These parameters measure the similarity between the input and the segmented image on the basis of comparing the corresponding...
Image segmentation denotes a process by which an image is partitioned into non-intersecting regions and each region is homogeneous. Many approaches have been proposed for the color image segmentation. Among these approaches, the clustering methods have been extensively investigated and used. Fuzzy C-Means has been used in image segmentation widely. However, it is not good for the image with noise...
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