Deep Learning-Based Back-Projection Parameter Estimation for Quantitative Defect Assessment in Single-Framed Endoscopic Imaging of Water Pipelines

Aging water pipelines are increasingly prone to structural failure, leakage, and ground subsidence, creating critical risks to urban infrastructure. Closed-circuit television endoscopy is widely used for internal assessment, but it depends on manual interpretation and lacks reliable quantitative def...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Gaon Kwon, Young Hwan Choi
Format:	Article
Language:	English
Published:	MDPI AG 2025-10-01
Subjects:	water pipeline condition assessment endoscopic image analysis inverse projection parameter estimation quantitative defect evaluation AI-based vision processing
Online Access:	https://www.mdpi.com/2227-7390/13/20/3291