@inproceedings{a0e1dd489d2849eb9370c2eb8d8b15a6,
title = "Mango Leaf Classification with Boundary Moments of Centroid Contour Distances as Shape Features",
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.",
keywords = "Centroid Contour Distance, classification, combination features, mango leaf, shape features",
author = "Eko Prasetyo and {Dimas Adityo}, R. and Nanik Suciati and Chastine Fatichah",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018 ; Conference date: 30-08-2018 Through 31-08-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ISITIA.2018.8711115",
language = "English",
series = "Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "317--320",
booktitle = "Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018",
address = "United States",
}