Performance Improvement of Plant Identification Model based on PSO Segmentation

Plant identification has been a challenging task for many researchers. Several researches proposed various techniques for plant identification based on leaves shape. However, image segmentation is an essential and critical part of analyzing the leaves images. This paper, proposed an efficient plant...

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Bibliographic Details
Published in:International journal of intelligent systems and applications 2016-02, Vol.8 (2), p.53-58
Main Author: Eid, Heba F.
Format: Article
Language:English
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Summary:Plant identification has been a challenging task for many researchers. Several researches proposed various techniques for plant identification based on leaves shape. However, image segmentation is an essential and critical part of analyzing the leaves images. This paper, proposed an efficient plant species identification model using the digital images of leaves. The proposed identification model adopts the particle swarm optimization for leaves images segmentation. Then, feature selection process using information gain and discritization process are applied to the segmented image's features. The proposed model was evaluated on the Flavia dataset. Experimental results on different kind of classifiers show an improvement in the identification accuracy up to 98.7%.
ISSN:2074-904X
2074-9058
DOI:10.5815/ijisa.2016.02.07