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Gray Level Co-occurrence Matrix (GLCM) dengan 14 Ekstraksi Fitur (Haralick) dan menggunakan Support Vector Machine (SVM) sebagai Metode Klasifikasi

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
GLCM_EkstraksiCiri.m		GLCM_EkstraksiCiri.m
Pisah_Hasil_EkstraksiFitur.m		Pisah_Hasil_EkstraksiFitur.m
README.md		README.md
SVM_Classification.m		SVM_Classification.m
SVM_Model_Train.m		SVM_Model_Train.m
Tutor.txt		Tutor.txt
combineFeature.m		combineFeature.m
haralickTextureFeatures.m		haralickTextureFeatures.m

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GLCM-SVM Haralick

Haralick

Energy
Entropy
Contrast
Variance
Correlation
Homogenity
Sum Average
Sum Entropy
Sum Variance
Difference Variance
Difference Entropy
Information Measures of Correlation I
Information Measures of Correlation II
Maximal Correlation Coefficient

4 Sudut Arah GLCM

0'
45'
90'
135'

Jurnal Referensi : https://doi.org/10.1371/journal.pone.0212110

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Gray Level Co-occurrence Matrix (GLCM) dengan 14 Ekstraksi Fitur (Haralick) dan menggunakan Support Vector Machine (SVM) sebagai Metode Klasifikasi

matlab svm image-classification glcm haralick-features

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