DocumentCode :
1848223
Title :
Study of Aggregation Operators for Scheduling Clusters in Digital Images of Plants
Author :
Nagau, Jimmy ; Regis, Sebastien ; Henry, Jean-Luc ; Doncescu, Andrei
Author_Institution :
Univ. des Antilles et de la Guyane, Pointe-à-Pitre, Guadeloupe
fYear :
2012
fDate :
26-29 March 2012
Firstpage :
1161
Lastpage :
1166
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 Π fully reinforced. The experiments carried out show that the use of Π improves outcomes for structuring groups of pixels.
Keywords :
biology computing; botany; image recognition; image segmentation; pattern clustering; scheduling; aggregation operator; cluster scheduling; image segmentation method; merging operator; pixel group; plant image analysis; recognition systems performance; Corporate acquisitions; Cybernetics; Fuzzy sets; Humans; Image color analysis; Image segmentation; Shape; fuzzy logic; image segmentation; merging; recognition system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-0867-0
Type :
conf
DOI :
10.1109/WAINA.2012.40
Filename :
6185406
Link To Document :
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