Discrimination of Textures Using Texton Patterns

Authors

  • P Kiran Kumar Reddy

  • Shaik Rahamat Basha

Keywords:

textons, glcm features, shape descriptor index (sdi), total shape descriptor index image (tsdi) total texton shape matrix (ttsm), 2 D7; 2 grids

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 D7; 3 neighbourhood into two different 2 D7; 2 neighbourhood grids each consist four pixels. On this 2 D7; 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

How to Cite

P Kiran Kumar Reddy, & Shaik Rahamat Basha. (2015). Discrimination of Textures Using Texton Patterns. Global Journal of Computer Science and Technology, 15(F3), 1–7. Retrieved from https://computerresearch.org/index.php/computer/article/view/1264

Discrimination of Textures Using Texton Patterns

Published

2015-07-15