NDLI: Leaf Shape Recognition using Centroid Contour Distance

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Leaf Shape Recognition using Centroid Contour Distance

Content Provider	Scilit
Author	Hasim, Abdurrasyid Herdiyeni, Yeni Douady, Stephane
Copyright Year	2016
Description	Journal: Iop Conference Series: Earth and Environmental Science 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.
Related Links	http://iopscience.iop.org/article/10.1088/1755-1315/31/1/012002/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/31/1/012002
Journal	Iop Conference Series: Earth and Environmental Science
Volume Number	31
Language	English
Publisher	IOP Publishing
Publisher Date	2016-01-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Remote Sensing Leaf Shape Shape Recognition Using Centroid Contour Centroid Contour Distance Neural Network
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

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