INTI Nusa Mandiri
Vol 14 No 1 (2019): INTI Periode Agustus 2019

PENERAPAN KLASIFIKASI ALGORITMA C4.5 PADA FITUR GRAY LEVEL CO-OCCURRANCE MATRIX UNTUK ANALISA TEKSTUR CITRA WAJAH

Ilham Kurniawan (Sekolah Tinggi Manajemen dan Informatika Nusa Mandiri)
Dwiza Riana (Ilmu Komputer Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri)



Article Info

Publish Date
16 May 2019

Abstract

Research on facial images is useful to distinguish the characteristics of each human being. The introduction of healthy and unhealthy facial skin images aims to identify human skin types automatically. For this purpose features such as contrast, correlation, energy, homogeneity, which are features of the Gray Level Co-occurrance Matrices (GLCM) are used. This study proposes a method for analyzing and classifying the GLCM texture on facial skin. The image used in this study was taken in the face image section which consists of the skin of the cheek and the whole face. The methods used are image acquisition, facial skin image, ROI selection, RGB image conversion to gray image, GLCM feature extraction, C4.5 algorithm classification and evaluation. The results showed that the C4.5 algorithm classification on texture analysis of facial images produced an accuracy value of 66.67%, the accuracy value was still low and the need for further research could not be used to increase the accuracy of texture analysis of facial images.

Copyrights © 2019






Journal Info

Abbrev

inti

Publisher

Subject

Computer Science & IT

Description

The INTI Nusa Mandiri Journal is intended as a media for scientific studies on the results of research, thought and analysis-critical studies on the issues of Computer Science, Information Systems and Information Technology, both nationally and internationally. The scientific article in question is ...