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