Discrimination of Textures Using Texton Patterns

Article ID

CSTGV3P5E9

Discrimination of Textures Using Texton Patterns

Shaik Rahamat Basha
Shaik Rahamat Basha
P Kiran Kumar Reddy
P Kiran Kumar Reddy Narayana Engineering College,GUDUR
DOI

Abstract

Textural patterns can often be used to recognize familiar objects in an image or retrieve images with similar texture from a database. Texture patterns can provide significant and abundance of texture and shape information. One of the recent significant and important texture features called Texton represents the various patterns of image which is useful in texture analysis. The present paper is an extension of our previous paper [1]. The present paper divides the 3 × 3 neighbourhood into two different 2 × 2 neighbourhood grids each consist four pixels. On this 2 × 2 grids shape descriptor indexes (SDI) are evaluated separately and added to form a Total Shape Descriptor Index Image (TSDI). By deriving textons on TSDI image Total Texton Shape Matrix (TTSM) image is formed and Grey Level Co-Occurence Matrix (GLCM) parameters are derived on it for efficient texture discrimination. The experimental result shows the efficacy of the present method

Discrimination of Textures Using Texton Patterns

Textural patterns can often be used to recognize familiar objects in an image or retrieve images with similar texture from a database. Texture patterns can provide significant and abundance of texture and shape information. One of the recent significant and important texture features called Texton represents the various patterns of image which is useful in texture analysis. The present paper is an extension of our previous paper [1]. The present paper divides the 3 × 3 neighbourhood into two different 2 × 2 neighbourhood grids each consist four pixels. On this 2 × 2 grids shape descriptor indexes (SDI) are evaluated separately and added to form a Total Shape Descriptor Index Image (TSDI). By deriving textons on TSDI image Total Texton Shape Matrix (TTSM) image is formed and Grey Level Co-Occurence Matrix (GLCM) parameters are derived on it for efficient texture discrimination. The experimental result shows the efficacy of the present method

Shaik Rahamat Basha
Shaik Rahamat Basha
P Kiran Kumar Reddy
P Kiran Kumar Reddy Narayana Engineering College,GUDUR

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P Kiran Kumar Reddy. 2015. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F3): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-F Classification: I.2.10
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Discrimination of Textures Using Texton Patterns

Shaik Rahamat Basha
Shaik Rahamat Basha
P Kiran Kumar Reddy
P Kiran Kumar Reddy Narayana Engineering College,GUDUR

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