Analysis of Railroad Track Crack Detection using Computer Vision

Author:

Saha Sumit1,Karmakar Samit1ORCID,Manna Debasmita2ORCID

Affiliation:

1. Institute of Engineering and Management,Dept. of Electronics & Communication Engineering,Kolkata,India

2. Dr. Sudhir Chandra Sur Institute of Technology and Sports Complex,Dept. of Electronics & Communication Engineering,Kolkata,India

Publisher

IEEE

Reference15 articles.

1. Color Image to Grayscale Image Conversion

2. Robust edge detection in noisy images

3. AutoAugment: Learning Augmentation Strategies From Data

4. Datahub: Collaborative data science & dataset version management at scale;bhardwaj;CIDR,2015

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1. Remote Sensing and Machine Learning for Safer Railways: A Review;Applied Sciences;2024-04-24

2. Unmanned Aerial Vehicle for District Surveillance with Computer Vision and Machine Learning;2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech);2023-12-18

3. Vision-Based Concrete-Crack Detection on Railway Sleepers Using Dense U-Net Model;Algorithms;2023-12-15

4. Railway Track Fault Detection using Deep Neural Networks;2022 IEEE 6th Conference on Information and Communication Technology (CICT);2022-11-18

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