TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of neural network method for road crack detection
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of neural network method for road crack detection
Application of neural network method for road crack detection
Subject
ANN, Crack detection, Feature extraction, GLCM, Image
Description
The study presents a road pavement crack detection system by extracting picture features then classifying them based on image features. The applied feature extraction method is the gray level co-occurrence matrices (GLCM). This method employs two order measurements. The first order utilizes statistical calculations based on the pixel value of the original image alone, such as variance, and does not pay attention to the neighboring pixel relationship. In the second order, the relationship between the two pixel-pairs of the original image is taken into account. Inspired by the recent success in implementing Supervised Learning in computer vision, the applied method for classification is artificial neural network (ANN). Datasets, which are used
for evaluation are collected from low-cost smart phones. The results show that feature extraction using GLCM can provide good accuracy that is equal to 90%.
for evaluation are collected from low-cost smart phones. The results show that feature extraction using GLCM can provide good accuracy that is equal to 90%.
Creator
Yuslena Sari, Puguh Budi Prakoso, Andreyan Rizky Baskara
Source
DOI: 10.12928/TELKOMNIKA.v18i4.14825
Publisher
Universitas Ahmad Dahlan
Date
August 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Yuslena Sari, Puguh Budi Prakoso, Andreyan Rizky Baskara, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of neural network method for road crack detection,” Repository Horizon University Indonesia, accessed April 17, 2025, https://repository.horizon.ac.id/items/show/3985.
Application of neural network method for road crack detection,” Repository Horizon University Indonesia, accessed April 17, 2025, https://repository.horizon.ac.id/items/show/3985.