Paper Info
Title
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.
Year
DOI
Venue
2012
10.1109/WAINA.2012.40
AINA Workshops
Keywords
Field
DocType
relevant group,segmentation method,recognitions systems performance,scheduling clusters,aggregation operators,plants images analysis,digital images,botany,scheduling,shape,digital image,image segmentation,fuzzy logic,merging,fuzzy set,system performance,fuzzy sets,cybernetics,image recognition,image analysis
Data mining,Computer science,Scheduling (computing),Segmentation,Fuzzy logic,Fuzzy set,Digital image,Image segmentation,Pixel,Operator (computer programming)
Conference
Citations 
PageRank 
References 
2
0.39
11
Authors
4
Name
Order
Citations
PageRank
Jimmy Nagau131.09
Sébastien Régis2266.82
Jean-luc Henry3123.13
Doncescu, A.48625.70