Scientific conference in universities or research centers (Scientific conferences in universities or research centers)
Effective segmentation of green vegetation for resource-constrained real-time applications
Krishna Moorthy Parvathi, Sruthi Moorthy; Boigelot, Bernard; Mercatoris, Benoît
2015
 

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Keywords :
Machine vision; Vegetation segmentation; HSV colour space
Abstract :
[en] This paper describes an improved algorithm for segmentation of green vegetation under uncontrolled illumination conditions and also suitable for resource-constrained real-time applications. The proposed algorithm uses a naïve Bayesian model to effectively combine various manually extracted features from two different color spaces namely RGB and HSV. The evaluation of 100 images indicated the better performance of the proposed algorithm than the vegetation index-based methods with comparable execution time. Moreover, the proposed algorithm performed better than the state-of-the-art EASA-based algorithms in terms of processing time and memory usage.
Research center :
Biosystem Engineering Department, Gembloux Agro-Bio Tech and Montefiore Institute, Université de Liège
Disciplines :
Computer science
Author, co-author :
Krishna Moorthy Parvathi, Sruthi Moorthy ;  Université de Liège > Ingénierie des biosystèmes (Biose) > Agriculture de précision
Boigelot, Bernard  ;  Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Informatique
Mercatoris, Benoît  ;  Université de Liège > Ingénierie des biosystèmes (Biose) > Agriculture de précision
Language :
English
Title :
Effective segmentation of green vegetation for resource-constrained real-time applications
Publication date :
15 July 2015
Event name :
10th European Conference on Precision Agriculture
Event organizer :
Victor Alchanatis and Yafit Cohen
Event place :
Beit-Dagan, Israel
Event date :
from 12-07-2015 to 16-07-2015
Audience :
International
Name of the research project :
AgricultureIsLife
Funders :
AgricultureIsLife of Gembloux Agro-Bio Tech, University of Liège, Belgium.
Available on ORBi :
since 30 July 2015

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