Klasifikasi Citra Daun dengan Metode Gabor Co-Occurence
Abstract: Plant takes a
crucial part in mankindexistences. The development of digital imageprocessing
technique made the plant classification task become a lot of easier. Leaf is a
part of plantthat can be used for plant classifcation wheretexture of the leaf
is a common feature that beenused for classifcation process. Texture offers a
unique feature and able to work even whenthe leaf is damaged or overly big in
size whichsometimes made the acquisition process become more difcult. This
study offers a combination ofGabor flter methods and co-occurrence matricesto
produce the most representative features for leaf classifcation. Classifcation
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%.
Penulis: Mutmainnah Muchtar
dan Laili Cahyani
Kode Jurnal: jptkomputerdd150423
