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Reseach Article

Segmentation of Textile Textures using Contextual Clustering

by Shobarani, Dr. S. Purushothaman
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 35 - Number 5
Year of Publication: 2011
Authors: Shobarani, Dr. S. Purushothaman
10.5120/4400-6110

Shobarani, Dr. S. Purushothaman . Segmentation of Textile Textures using Contextual Clustering. International Journal of Computer Applications. 35, 5 ( December 2011), 45-50. DOI=10.5120/4400-6110

@article{ 10.5120/4400-6110,
author = { Shobarani, Dr. S. Purushothaman },
title = { Segmentation of Textile Textures using Contextual Clustering },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 35 },
number = { 5 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 45-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume35/number5/4400-6110/ },
doi = { 10.5120/4400-6110 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:21:14.040882+05:30
%A Shobarani
%A Dr. S. Purushothaman
%T Segmentation of Textile Textures using Contextual Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 35
%N 5
%P 45-50
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents texture segmentation concept using supervised method in contextual clustering and fuzzy logic. The data set used is the textile textures. The image is split into 3 X 3 windows. The features of the windows are presented to the input layer of the contextual clustering. The algorithm involves least computation in the segmentation of textures. The output of fuzzy logic depends upon the radii of the clusters used during segmentation. The implementation of the algorithm is made by the fuzzy membership its probability indicates the spatial influence of the neighboring pixels on the centre pixel.

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Index Terms

Computer Science
Information Sciences

Keywords

Image segmentation Clustering Fuzzy logic Textures