Plant species recognition using spatial correlation between the leaf margin and the leaf salient points.

Abstract : In this paper, we propose an automatic approach for plant species identification, based on the visual information provided by the plant leaves. More precisely, we consider two sources of information: the leaf margin and the leaf salient points. We investigate two shape context based descriptors: the first one describes the leaf boundary while the second descriptor represents the spatial correlation between salient points of the leaf and its margin. We also study the performance of the fusion of these two descriptors on the ImageCLEF 2011 and 2012 leaf datasets. Experiments show the effectiveness and the efficiency of the proposed method.
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Communication dans un congrès
ICIP 2013 - IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. IEEE, 2013
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https://hal.inria.fr/hal-00865162
Contributeur : Anne Verroust-Blondet <>
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Dernière modification le : vendredi 25 mai 2018 - 12:02:06
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Sofiène Mouine, Itheri Yahiaoui, Anne Verroust-Blondet. Plant species recognition using spatial correlation between the leaf margin and the leaf salient points.. ICIP 2013 - IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. IEEE, 2013. 〈hal-00865162〉

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