Fuzzy Based Texton Binary Shape Matrix (FTBSM) for Texture Classification

Fuzzy Based Texton Binary Shape Matrix (FTBSM) for Texture Classification

Dr. P.Chandra Sekhar Reddy

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B.Eswara Reddy

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Jawaharlal Nehru Technological University, Kakinada

Fuzzy Based Texton Binary Shape Matrix (FTBSM) for Texture Classification

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Abstract

Texton is a extensively applied approach for texture analysis. This technique shows a strong dependence on certain number of parameters. Unfortunately, each variation of values of any parameter may affect the texture characterization performance. Moreover, micro structure texton is unable to extract texture features which also have a negative effect on the classification task. This paper, deals with a new descriptor which avoids the drawbacks mentioned above. To address the above, the present paper derives a new descriptor called Fuzzy Based Texton Binary Shape Matrix (FTBSM) for clear variation of any feature/parameter. The proposed FTBSM are defined based on similarity of neighboring edges on a 3×3 neighborhood. With micro-structures serving as a bridge for extracting shape features and it effectively integrates color, texture and shape component information as a whole for texture classification. The proposed FTBSM algorithm exhibits low dimensionality. The proposed FTBSM method is tested on Vistex and Akarmarble texture datasets of natural images. The results demonstrate that it is much more efficient and effective than representative feature descriptors, such as logical operators and GLCM and LBP, for texture classification.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. P.Chandra Sekhar Reddy. 2013. \u201cFuzzy Based Texton Binary Shape Matrix (FTBSM) for Texture Classification\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F15): .

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GJCST Volume 12 Issue F15
Pg. 25- 32

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

fuzzy micro structure shape component texton

Submission ReceivedFebruary 13, 2012
Peer Review Double Blind
Handling Editor
Accepted February 29, 2012
Published March 15, 2012

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v1.2

Issue date

January 5, 2013

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Dr. P.Chandra Sekhar Reddy, B.Eswara Reddy (PhD/Dr. count: 1)

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