Classification of Faults in Railway Ties Using Computer Vision and Machine Learning

Classification of Faults in Railway Ties Using Computer Vision and Machine Learning

This work focuses on automated classification of railway ties based on their condition using aerial imagery. Four approaches are explored and compared to achieve this goal - handcrafted features, HOG features, transfer learning and proposed CNN architecture. Mean test accuracy per class and Quadrati...

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Bibliographic Details
Main Author: Kulkarni, Amruta Kiran
Other Authors: Electrical and Computer Engineering
Format: Others
Published: Virginia Tech 2018
Subjects:
Computer Vision
Machine Learning
Railway Ties
Online Access:http://hdl.handle.net/10919/86522

Internet

http://hdl.handle.net/10919/86522

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