An Efficient Fuzzy C-Means Clustering based Image Dissection Algorithm for Satellite Images

Abstract

In computer vision, segmentation is an imperative process for analyzing an image. The developments in abstraction resolution of satellite cognitive process, the ways of section based image exploration for generating and revolutionize topographical data have become more efficient. In this paper, a very distinctive image segmentation technique using fuzzy c-means clustering algorithm on satellite imagery proposed. The whole work is split into a pair of stages. Initial stage enhanced the image by using Gaussian filter then segmented the image using Fuzzy C-means clustering algorithm. This technique is utilized to diminish the computational cost.