Mango Leaf Classification with Boundary Moments of Centroid Contour Distances as Shape Features

Prasetyo, Eko and Suciati, Nanik and Adityo, R Dimas and Fatichah, Chastine (2019) Mango Leaf Classification with Boundary Moments of Centroid Contour Distances as Shape Features. Mango Leaf Classification with Boundary Moments of Centroid Contour Distances as Shape Features. pp. 335-338. ISSN 978-1-5386-7654-7

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Abstract

The previous research in mango leaf classification which used 270 features consisted of 256 texture features, 2 color features, and 2 shape features, could not achieve high classification performance. In this study, we conduct improvement by combining the previous features with the Boundary Moments of Centroid Contour Distance (CCD) and classify the combination features using Support Vector Machine with Linear and RBF kernels. The experiment results show that the combination features achieve higher classification performance compared to the previous features.

Item Type:	Article
Subjects:	Technology
Divisions:	Faculty of Engineering
Depositing User:	Perpus Ubhara Surabaya
Date Deposited:	20 Jun 2024 03:51
Last Modified:	20 Jun 2024 03:51
URI:	http://eprints.ubhara.ac.id/id/eprint/2548

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