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Proceedings Paper

Texture analysis and scientific visualization
Author(s): Sebastien Mavromatis; Jean-Marc Boï
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Paper 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.

Paper Details

Date Published: 9 June 2003
PDF: 10 pages
Proc. SPIE 5009, Visualization and Data Analysis 2003, (9 June 2003); doi: 10.1117/12.477522
Show Author Affiliations
Sebastien Mavromatis, Univ. de la Mediterranee (France)
Jean-Marc Boï, Univ. de la Mediterranee (France)


Published in SPIE Proceedings Vol. 5009:
Visualization and Data Analysis 2003
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Matti T. Groehn; Katy Boerner, Editor(s)

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