Actions for Bayesian Fusion of Color and Texture Segmentations

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Bayesian Fusion of Color and Texture Segmentations

Author
Manduchi, Roberto
Published
[2000].
Physical Description
1 electronic document
Online Version

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Unclassified, Unlimited, Publicly available.
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Summary
In many applications one would like to use information from both color and texture features in order to segment an image. We propose a novel technique to combine "soft" segmentations computed for two or more features independently. Our algorithm merges models according to a mean entropy criterion, and allows to choose the appropriate number of classes for the final grouping. This technique also allows to improve the quality of supervised classification based on one feature (e.g. color) by merging information from unsupervised segmentation based on another feature (e.g., texture.)
Other Subject(s)
Collection
NASA Technical Reports Server (NTRS) Collection.
Note
Document ID: 20000056076.
Terms of Use and Reproduction
No Copyright.
View MARC record | catkey: 15641244