DETECTION OF ASPHALT ROAD DAMAGE USING THE GRAY LEVEL CO-OCCURENCE MATRIX METHOD
DOI:
https://doi.org/10.22216/jod.v8i2.2775Keywords:
Asphalt road damage, GLCM, image classification.Abstract
Abstract - This research aims to recognize and classify asphalt road damage based on the level of damage using the Gray Level Co-occurrence Matrix (GLCM) method in image processing. Data on asphalt road damage in Padang City from 2020 to 2022 shows an increase in light damage and a decrease in heavy damage. The GLCM method is used to extract texture features from images of asphalt road damage. The research used eight images of asphalt road damage objects, five with heavy damage and three with light damage. The research results showed that the GLCM method was effective in classifying the level of damage to asphalt roads based on texture characteristics extracted from the images
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