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ICCV
1999
IEEE

Independent Component Analysis of Textures

15 years 3 days ago
Independent Component Analysis of Textures
The technique of independent component analysis (ICA) is applied for texture feature detection. In ICA an optimal transformation (with respect to the statistical structure of the image samples set) is discovered via blind signal processing. Any texture is considered as a mixture of independent sources (basic functions of detected transformation). Experimental comparison is documented on the compactness and separability of base functions, the data-specific ICA-based and universal Gabor functions (the latter are set by default for all kinds of images).
Roberto Manduchi, Javier Portilla
Added 15 Oct 2009
Updated 31 Oct 2009
Type Conference
Year 1999
Where ICCV
Authors Roberto Manduchi, Javier Portilla
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