Image of KLASIFIKASI TINGKAT RETAKAN (CRACK) PADA BANGUNAN DENGAN ANALISIS CITRA MENGGUNAKAN METODE GLCM DAN KLASIFIKASI SVM

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KLASIFIKASI TINGKAT RETAKAN (CRACK) PADA BANGUNAN DENGAN ANALISIS CITRA MENGGUNAKAN METODE GLCM DAN KLASIFIKASI SVM

Cracks classification on buildings caused by natural disasters such as earthquakes can be done manually analyzing walls, beams, columns and floors based on diameter, depth, and length of cracks using vision. After that, it can be concluded to be a category of mild, moderate or severe cracks. This manual method requires enough knowledge and experience to be used. Only building structure experts can solve it. Whereas in the earthquake location, not everyone has the same knowledge and experience about cracks. To facilitate and overcome these problems, in this study a crack classification system will be developed with a digital image processing approach (pattern recognition) that can classify cracks into the light, medium or heavy categories, using extraction features of GLCM and classification of SVM. Based on the research that has been done, for 2 classes (heavy and light) obtained the accuracy 94,44%, recall 94,44% and precision 95%. And for 3 classes (heavy, medium and light) obtained the accuracy 81,48%, recall 81,41% and precision 88,09%.

Ketersediaan
2018122669.8.Cha.kTersedia
Informasi Detail
Judul Seri
-
No. Panggil
669.8.Cha.k
Penerbit
Universitas Mataram : Fakultas Teknik Unram.,
Deskripsi Fisik
xii,35 Hlm, Illus, 21x29 cm
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
669.8
Tipe Isi
other
Tipe Media
other
Tipe Pembawa
-
Edisi
Edisi 1 Jilid 1
Subjek
TINGKAT RETAKAN
Cracks, GLCM, Image Analysis
Image Processing, SVM.
Info Detail Spesifik
-
Pernyataan Tanggungjawab
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