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

Alireza Tavakoli Targhi; Azad Shademan

doi:10.1117/12.503073

23 June 2003 Clustering of singular value decomposition of image data with applications to texture classification

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503073
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

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.

Citation Download Citation

Alireza Tavakoli Targhi and Azad Shademan "Clustering of singular value decomposition of image data with applications to texture classification", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503073

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available