Segmentation for Content Based Satellite Image Retrieval using Fuzzy Clustering

  • P.K. Kavitha, P. Vidhya Saraswathi

Abstract

In computer vision, segmentation is an imperative process for analyze an image. The progresses in abstraction resolution of satellite cognitive process, the ways of segment based image analysis for generating and revolutionize geographical 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.

Published
2020-05-15
How to Cite
P.K. Kavitha, P. Vidhya Saraswathi. (2020). Segmentation for Content Based Satellite Image Retrieval using Fuzzy Clustering. International Journal of Advanced Science and Technology, 29(9s), 3042 - 3049. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/15811