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Proceedings Paper

Clustering of singular value decomposition of image data with applications to texture classification
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Paper Abstract

In this paper, some applications of a local version of Singular Value Decomposition (SVD) to texture classification and texture segmentation are studied. We introduce two measures, obtained from SVD transform, which capture some of the perceptual and conceptual features in an image. One of the measures classifies the textures by their roughness and structures. Experimental results show that these measures are suitable for texture clustering and image segmentation and they are robust relative to changes in lighting.

Paper Details

Date Published: 23 June 2003
PDF: 8 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503073
Show Author Affiliations
Alireza Tavakoli Targhi, Institute for Studies of Theoretical Physics and Mathematics (Iran)
Shahid Beheshti Univ. (Iran)
Azad Shademan, Institute for Studies of Theoretical Physics and Mathematics (Iran)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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