Texture analysis and scientific visualization

Abstract : In this paper, we propose a new formalism that enables to take into account image textural features in a very robust and selective way. This approach also permits to visualize these features so experts can efficiently supervise an image segmentation process based on texture analysis. The texture concept has been studied through different approaches. One of them is based on the notion of ordered local extrema and is very promising. Unfortunately, this approach does not take in charge texture directionality; and the mathematical morphology formalism, on which it is based, does not enable extensions to this feature. This led us to design a new formalism for texture representation which is able to include directionality features. It produces a representation of texture relevant features in the form of a surface z = f (x,y ). The visualization of this surface gives experts sufficient information to discriminate different textures.
Type de document :
Communication dans un congrès
Electronic Imaging 2003, Jan 2003, Santa Clara, United States. pp.115--124, 2003
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Contributeur : Sébastien Mavromatis <>
Soumis le : dimanche 13 mars 2016 - 22:47:00
Dernière modification le : jeudi 15 mars 2018 - 16:56:06


  • HAL Id : hal-01287583, version 1



Sébastien Mavromatis, Jean-Marc Boi. Texture analysis and scientific visualization. Electronic Imaging 2003, Jan 2003, Santa Clara, United States. pp.115--124, 2003. 〈hal-01287583〉



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