SATELLITE IMAGE SEGMENTATION USING HSV COLOUR SPACE WITH EPITOMIZED KERNEL BASED FUZZY C MEANS (EKFCM)

Abstract

Segmentation of Image is one of the promising and dynamic researches lately. Partitioned our segmentation task into three critical advances First, a basic segmentation is cultivated using dynamic local thresholding, making a lot of regions. Satellite images are by and by used as a useful device for farming administration and observing. In this paper we proposed HSV colour space with Epitomized Kernel based Fuzzy C Means (EKFCM) algorithm for satellite image segmentation. It is also maybe the most troublesome image segmentation problem on account of factors like ecological conditions, poor resolution and poor brightening. Pixel clustering is a well known strategy for concluding the homogeneous image regions, contrasting with the unmistakable land cover types, considering their spectral properties and Introduced as HSV colour space with EKFCM based segmentation technique for agriculture satellite images.