e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

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Publication: 31 Oct 2020

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ABSTRACT

Title : Texture Based Image Clustering Using COM and Spatial Information
Authors : Mrs.P.Jeyanthi, Dr.v.Jawahar SenthilKumar
Keywords : -
Issue Date : Apr-May 2012
Abstract :
Clustering is traditionally viewed as an unsupervised method for data analysis. The primary objective of cluster analysis is to partition a given data set into homogeneous clusters. In this paper, we present a novel algorithm for performing texture based clustering using com matrix and spatial informationís of pixels. In this work the co-occurrence features energy and entropy which can easily differentiate non homogeneous region from homogeneous region are considered. Run length features are based on computation of continuous probability of the length and gray level of the primitive in the texture. The final parameters are obtained by using the Expectation and Maximization algorithm. The segmentation is determined by Maximum Likelihood function. It is observed that the proposed method is computationally efficient allowing the segmentation of large images and performs much superior to the earlier image segmentation methods.
Page(s) : 212-221
ISSN : 0976-5166
Source : Vol. 3, No.2