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ICPR
2000
IEEE

A Cluster Grouping Technique for Texture Segmentation

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A Cluster Grouping Technique for Texture Segmentation
We propose an algorithm for texture segmentation based on a divide-and-conquerstrategy of statistical modeling.Selectedsets of Gaussianclusters,estimated via ExpectationMaximization on thetexture features, aregrouped together to form compositetextureclasses.Ourclustergroupingtechniqueexploits the inherent localspatialcorrelationamongposterior distributions of clusters belonging to the same texture class.Despiteitssimplicity,thisalgorithm canmodel even very complex distributions, typicalof natural outdoor images.
Roberto Manduchi
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2000
Where ICPR
Authors Roberto Manduchi
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