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Mixture Models and the Segmentation of Multimodal Textures

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Mixture Models and the Segmentation of Multimodal Textures
A problem of using mixture-of-Gaussian models for unsupervised texturesegmentationisthat "multimodal"textures(such ascan often be encountered in natural images) cannot be well represented by a single Gaussiancluster. We propose a divide-andconquer method that groups together Gaussian clusters (estimated via Expectation Maximization) into homogeneous texture classes. This method allows to succesfully segment even rather complex textures, as demonstrated by experimental tests on natural images.
Roberto Manduchi
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2000
Where CVPR
Authors Roberto Manduchi
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