Discrimination of Textures using Texton Patterns
نویسنده
چکیده
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. Keyward: textons, glcm features, shape descriptor index (sdi), total shape descriptor index image (tsdi). total texton shape matrix (ttsm), 2 × 2 grids. GJCST-F Classification: I.2.10 DiscriminationofTexturesusingTextonPatterns Strictly as per the compliance and regulations of: Discrimination of Textures using Texton Patterns AbstractTextural 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.
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