A New Computer Vision Based Rail Detection
Method Using Entropy and Support Vector Machines
Dublin Core
Title
A New Computer Vision Based Rail Detection
Method Using Entropy and Support Vector Machines
Method Using Entropy and Support Vector Machines
Subject
Keywords-classification; entropy; support vector machine;
image processing; railways
image processing; railways
Description
Abstract—Condition monitoring in railways is an important and
critical process in terms of travel safety. However, this process is
generally done based on observation or with various equipment.
Therefore, it is costly and has a high probability of error. In this
study, a computer vision-based method for rail detection for
condition monitoring in railways is proposed. In addition to the
features obtained from the images, a new feature is calculated
using entropy. Rail detection is provided by classifying these
features with Support Vector Machine (SVM). It has been seen
that the proposed method works successfully and provides
improvement in the monitoring process.
critical process in terms of travel safety. However, this process is
generally done based on observation or with various equipment.
Therefore, it is costly and has a high probability of error. In this
study, a computer vision-based method for rail detection for
condition monitoring in railways is proposed. In addition to the
features obtained from the images, a new feature is calculated
using entropy. Rail detection is provided by classifying these
features with Support Vector Machine (SVM). It has been seen
that the proposed method works successfully and provides
improvement in the monitoring process.
Creator
Kağan Murat, Mehmet Karaköse, Erhan Akın
Source
www.ijcit.com
Date
June 2023
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Kağan Murat, Mehmet Karaköse, Erhan Akın, “A New Computer Vision Based Rail Detection
Method Using Entropy and Support Vector Machines,” Repository Horizon University Indonesia, accessed May 30, 2025, https://repository.horizon.ac.id/items/show/9123.
Method Using Entropy and Support Vector Machines,” Repository Horizon University Indonesia, accessed May 30, 2025, https://repository.horizon.ac.id/items/show/9123.