DocumentCode :
2862633
Title :
Plant leaf classification using plant leaves based on rough set
Author :
Zhang, Shanwen ; Feng, Youqian
Author_Institution :
Dept. of Eng. & Technol., Xijing Univ., Xi´´an, China
Volume :
15
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Plant classification using plant leaves has been an important and difficult task. The key question in plant classification is extraction features and reduction features. In this paper, a method of plant leaf classification is proposed based on the neighborhood rough set. We mainly show that the is applicable to plant leaf classification. Experimental results on plant leaf image database demonstrate that the proposed method is effective and feasible for leaf classification.
Keywords :
feature extraction; image classification; rough set theory; visual databases; feature extraction; image database; plant leaf classification; rough set; Area measurement; Correlation; Attribute reduction; Forward attribute reduction based on neighborhood model (FARNeM); Leaf classification; Neighborhood rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5622528
Filename :
5622528
Link To Document :
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