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Intrinsic prior for Bayesian classification of texture images

Abstract : This paper introduces an intrinsic prior distribution for supervised classification of texture images. First, we introduce the intrinsic prior distribution as the normal law on a Riemannian manifold. Next, based on this definition, we derive the estimation and classification schemes. Finally, we propose an application for the classification of texture images. Experiments on the VisTex texture database are conducted and demonstrate the interest of the proposed intrinsic classification algorithm.
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Submitted on : Tuesday, June 17, 2014 - 10:01:58 AM
Last modification on : Wednesday, January 31, 2018 - 1:46:02 PM
Long-term archiving on: : Wednesday, September 17, 2014 - 10:55:40 AM


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  • HAL Id : hal-01007742, version 1


Aurélien Schutz, Lionel Bombrun, Yannick Berthoumieu. Intrinsic prior for Bayesian classification of texture images. IEEE International Conference on Acoustic, Speech and Signal Processing, 2014, Florence, Italy. pp.4392-4396. ⟨hal-01007742⟩



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