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Segmentation of Multi-Textured Images using Optimized Local Ternary Patterns

by G. Madasamy Raja, V. Sadasivam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 16
Year of Publication: 2014
Authors: G. Madasamy Raja, V. Sadasivam
10.5120/16680-6789

G. Madasamy Raja, V. Sadasivam . Segmentation of Multi-Textured Images using Optimized Local Ternary Patterns. International Journal of Computer Applications. 95, 16 ( June 2014), 22-29. DOI=10.5120/16680-6789

@article{ 10.5120/16680-6789,
author = { G. Madasamy Raja, V. Sadasivam },
title = { Segmentation of Multi-Textured Images using Optimized Local Ternary Patterns },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 16 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number16/16680-6789/ },
doi = { 10.5120/16680-6789 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:20:08.650833+05:30
%A G. Madasamy Raja
%A V. Sadasivam
%T Segmentation of Multi-Textured Images using Optimized Local Ternary Patterns
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 16
%P 22-29
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Texture segmentation is a process of segmenting an image into differently textured regions. This paper is aimed at the segmentation of multitextured images by using Optimized Local Ternary Patterns (OLTP), a new texture model which is recently proposed for texture analysis. This paper uses unsupervised texture segmentation method with the application of optimized local ternary patterns for finding the dissimilarity of adjacent image regions during the segmentation process. The performance of this recently proposed texture measure OLTP is evaluated, compared with other texture models Texture Spectrum (TS) and Local Binary Patterns (LBP) and found to be the best.

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Index Terms

Computer Science
Information Sciences

Keywords

Texture Spectrum Texture Segmentation Kullback-Leibler Distance Local Binary Patterns Optimized Local Ternary Patterns Brodatz Textures.

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