Leaf Shape Recognition using Centroid Contour Distance

被引：19

作者：

Hasim, Abdurrasyid ^{[1
]}

Herdiyeni, Yeni ^{[1
]}

Douady, Stephane ^{[2
]}

机构：

[1] Bogor Agr Univ, Fac Math & Nat Sci, Dept Comp Sci, Java, Indonesia

[2] Univ Paris Diderot, Lab Mat & Syst Complex, Paris, France

来源：

WORKSHOP AND INTERNATIONAL SEMINAR ON SCIENCE OF COMPLEX NATURAL SYSTEMS | 2016年 / 31卷

关键词：

D O I：

10.1088/1755-1315/31/1/012002

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This research recognizes the leaf shape using Centroid Contour Distance (CCD) as shape descriptor. CCD is an algorithm of shape representation contour-based approach which only exploits boundary information. CCD calculates the distance between the midpoint and the points on the edge corresponding to interval angle. Leaf shapes that included in this study are ellips, cordate, ovate, and lanceolate. We analyzed 200 leaf images of tropical plant. Each class consists of 50 images. The best accuracy is obtained by 96.67%. We used Probabilistic Neural Network to classify the leaf shape. Experimental results demonstrated the effectiveness of the proposed approach for shape recognition with high accuracy.

引用

页数：8

共 7 条

[1]

[Anonymous], 2007, SIGN PROC INF TECHN

[2]

Benson Lyman., 1957, Plant Classification

[3]

Bong MF, 2013, INT J COMPUTER SCI I, P477

[4]

Cerutti G., 2011, C MULT MULT INF ACC, P1

[5] Plant species identification using digital morphometrics: A review [J].

Cope, James S. ;

Corney, David ;

Clark, Jonathan Y. ;

Remagnino, Paolo ;

Wilkin, Paul .

EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (08) :7562-7573

[6]

Pahalawatta K., 2008, THESIS

[7] Review of shape representation and description techniques [J].

Zhang, DS ;

Lu, GJ .

PATTERN RECOGNITION, 2004, 37 (01) :1-19

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