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Reseach Article

Morphological Shape features for Classification of Textures based on Fuzzy Texture Element

by M. Rama Bai, V.Venkata Krishna, J.Sasi Kiran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 7
Year of Publication: 2011
Authors: M. Rama Bai, V.Venkata Krishna, J.Sasi Kiran

M. Rama Bai, V.Venkata Krishna, J.Sasi Kiran . Morphological Shape features for Classification of Textures based on Fuzzy Texture Element. International Journal of Computer Applications. 19, 7 ( April 2011), 22-30. DOI=10.5120/2373-3127

@article{ 10.5120/2373-3127,
author = { M. Rama Bai, V.Venkata Krishna, J.Sasi Kiran },
title = { Morphological Shape features for Classification of Textures based on Fuzzy Texture Element },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 7 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 22-30 },
numpages = {9},
url = { },
doi = { 10.5120/2373-3127 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:06:22.441424+05:30
%A M. Rama Bai
%A V.Venkata Krishna
%A J.Sasi Kiran
%T Morphological Shape features for Classification of Textures based on Fuzzy Texture Element
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 7
%P 22-30
%D 2011
%I Foundation of Computer Science (FCS), NY, USA

Texture is an important spatial feature useful for identifying objects or regions of interest in an image. The present paper derives a new set of texture features, which are morphological shape components derived from the fuzzy texture elements of a 3x3 mask. The proposed fuzzy texture element patterns (FTP’s) extract textural information of an image with a more complete respect of texture characteristics in all the eight directions instead of only one displacement vector. The proposed FTP’s retains discriminating power of texture elements. In the present paper, five simple morphological shape components are evaluated on each of the derived FTP. The experimental results on the five groups of texture images clearly show the efficacy and simplicity of the present method.

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Index Terms

Computer Science
Information Sciences


Morphological Shape components Textural information Classification Fuzzy texture element