World Journal of Engineering Research and Technology

B. Sasi Prabha*

ABSTRACT

In day-to-day life, image segmentation techniques are very exigent and vitally used in field of Satellite images processing. Image segmentation is the technique of partition a digital image into multiple regions and boundaries. In this paper, well-organized clustering algorithms are proposed to inherent the geographical phenomena on satellite images. The main goal of clustering is to differentiate the objects in an image using similarity and dissimilarity between the regions. In remote sensing images, clustering algorithms Fuzzy C Mean are used to executed based on spectrally defined features such as texture, densities and variation on the surface materials across different spectral bands and give a fundamental mechanism for understanding the image features. The purpose of segmentation techniques is to get significant result, efficient storage and fast retrieval in various areas.

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