2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MP-L2.5
Session:Image And Video Segmentation II: Texture Segmentation
Time:Monday, September 17, 16:10 - 16:30
Presentation: Lecture
Title: STRUCTURAL TEXTURE SEGMENTATION USING AFFINE SYMMETRY
Authors: Heechan Park; University of Warwick 
 Graham Martin; University of Warwick 
 Abhir Bhalerao; University of Warwick 
Abstract: Many natural textures comprise structural patterns and show strong self-similarity. We use affine symmetry to address the self-similarity relationship; that is a patch of texture can represent other similar patches after affine transformation. Based on this model, we demonstrate efficient segmentation of structural textures. The algorithm employs the Multi-resolution Fourier Transform and uses Radon analysis to obtain a directional shape from the local spectrum. This process offers reasonable noise robustness for directional feature detection. From the obtained shape, a feature is extracted using the affine-invariant Fourier descriptor. Experimental evaluation on structural textures shows encouraging results and application on natural images demonstrates identification of texture objects.



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