• An Efficient Fuzzy C-Means Algorithm for Segmenting Color Based Satellite Image Data

D. NAPOLEON, M. PRANEESH, G. BASKER*, S. SATHYA

Abstract


This paper presents a new approach for color based image segmentation by applying Fuzzy c-means algorithm. This segmentation process includes a new mechanism for clustering the elements of high –resolution images in order to improve precision and reduce computation time. Normally, due to the progress in spatial resolution of satellite imagery, the methods of segment-based image analysis for generating and updating geographical information are being more and more important.[5] So, in this work we present a novel image segmentation based on color features with fuzzy c-means algorithm. The main objective of this paper is to get a non-overlapping of image and a reliable output.

Keywords


Data mining, remote sensing, color separation, Fuzzy C-Means algorithm, noise removal, satellite image, pixels.

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