An identification method for texture AR-2D modelling based on auto- and partial correlation measures

Abstract : This paper deals with the identification of the model order for a bidimensional autoregressive (AR-2D) texture model. It means the automatic choice of the number of neighbours in the prediction set of the model and their spatial position. The method, called mixed correlation method is based on partial and autocorrelation measures and fastly and efficiently allows to find an adapted model for all microtextures. In a textured samples classification procedure, these adapted models improve the percentage of good classification in comparison with a classical approach consisting in taking the same prediction set for all the textures.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02297554
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, September 26, 2019 - 11:30:34 AM
Last modification on : Friday, September 27, 2019 - 1:27:39 AM

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  • HAL Id : hal-02297554, version 1

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Isabelle Claude, André Smolarz. An identification method for texture AR-2D modelling based on auto- and partial correlation measures. 9th European Signal Processing Conference (EUSIPCO 1998), Sep 1998, Rhodes, Greece. ⟨hal-02297554⟩

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