Unsupervised Texture Segmentation Using Stochastic Version of the EM Algorithm and Data Fusion

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Venue:
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Year:
1998

Citing 5
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Abstract

In this paper I present a new metodology for texture segmentation. This metodology is based through the higth order statistics features, the data fusion technics and finally though the maximum of likelihood method in order to find the clusters. The metodology is applied in order to segment natural micro-textures.