Klasifikasi Citra Daun dengan Metode Gabor Co-Occurence

ULTIMA Computing

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Field Value
 
Title Klasifikasi Citra Daun dengan Metode Gabor Co-Occurence
 
Creator Muchtar, Mutmainnah
Cahyani, Laili
 
Description Plant takes a crucial part in mankind existences. The development of digital image processing technique made the plant classification task become a lot of easier. Leaf is a part of plant that can be used for plant classification where texture of the leaf is a common feature that been used for classification process. Texture offers a unique feature and able to work even when the leaf is damaged or overly big in size which sometimes made the acquisition process become more difficult. This study offers a combination of Gabor filter methods and co-occurrence matrices to produce the most representative features for leaf classification. Classification using SVM with 5-fold cross validation system shows that the proposed Gabor Co-Occurence methods was able to reach average accuracy up to 89.83%.
 
Publisher Jurnal Sistem Komputer
ULTIMA Computing
 
Contributor
 
Date 2016-08-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artikel yang dipeer-review
 
Format application/pdf
 
Identifier http://ejournals.umn.ac.id/index.php/SK/article/view/231
 
Source Jurnal Sistem Komputer; Vol 7, No 2 (2015): Ultima Computing
ULTIMA Computing; Vol 7, No 2 (2015): Ultima Computing
2549-4007
2355-3286
 
Language ind
 
Relation http://ejournals.umn.ac.id/index.php/SK/article/view/231/203
 
Rights ##submission.copyrightStatement##
 

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