Study of aggregation operators for scheduling clusters in digital images of plants.

Abstract : In this paper, we use a segmentation method applied to the plants images analysis. The segmentation gives groups of pixels, and we propose to use merging operators to address the most relevant groups in order to improve the recognitions systems performance. In particular, we use an operator called Pi fully reinforced. The experiments carried out show that the use of Pi improves outcomes for structuring groups of pixels.
Type de document :
Communication dans un congrès
the IEEE International Workshop on Bioinformatics and Life Science Modeling and Computing (BLSMC 12) (AINA), Mar 2012, Fukuoka, Japan. pp.1161-1166, 2012, 〈10.1109/WAINA.2012.40〉
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https://hal.archives-ouvertes.fr/hal-00652125
Contributeur : Jimmy Nagau <>
Soumis le : jeudi 15 décembre 2011 - 00:09:05
Dernière modification le : mardi 24 mars 2015 - 10:55:02

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Jimmy Nagau, Sébastien Regis, Jean-Luc Henry, Andrei Doncescu. Study of aggregation operators for scheduling clusters in digital images of plants.. the IEEE International Workshop on Bioinformatics and Life Science Modeling and Computing (BLSMC 12) (AINA), Mar 2012, Fukuoka, Japan. pp.1161-1166, 2012, 〈10.1109/WAINA.2012.40〉. 〈hal-00652125〉

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