Medical image segmentation using texture directional features

Abstract : Medical image segmentation can often be performed through tissue texture analysis. One of the most recent and interesting ideas to do that is to take into account the distribution of local maximum orders. We have followed up this idea by using directional maximums and we have applied it to tissue differentiation. Two problems are emerging now: one is the identification of a given texture (labeling) and another one is the characterization of the different areas within images (segmentation). In this paper, we present our new approach for texture representation and analysis, and we point out the advances and problems involved in the image segmentation process.
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Communication dans un congrès
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE, Oct 2001, Istanbul, Turkey. 3, pp.2673--2676, 2001, 〈10.1109/IEMBS.2001.1017333〉
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https://hal.archives-ouvertes.fr/hal-01287587
Contributeur : Sébastien Mavromatis <>
Soumis le : dimanche 13 mars 2016 - 22:47:03
Dernière modification le : jeudi 15 mars 2018 - 16:56:06

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Sébastien Mavromatis, Jean-Marc Boi, Jean Sequeira. Medical image segmentation using texture directional features. Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE, Oct 2001, Istanbul, Turkey. 3, pp.2673--2676, 2001, 〈10.1109/IEMBS.2001.1017333〉. 〈hal-01287587〉

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