Texture Description by Independent Components
Conference paper
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Abstract
A model for probabilistic independent component subspace analysis is developed and applied to texture description. Experiments show it to perform comparably to a Gaussian model, and to be useful mainly for problems in which the detection of little occurring, high-frequency image elements is important.
Keywords
Independent Component Analysis Independent Component Gaussian Model Texture Image Texture Description
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© Springer-Verlag Berlin Heidelberg 2002