Identification of Corrosion on the Inner Walls of Water Pipes Using a VGG Model Incorporating Attentional Mechanisms

Identification of Corrosion on the Inner Walls of Water Pipes Using a VGG Model Incorporating Attentional Mechanisms

To accurately classify and identify the different corrosion patterns on the inner walls of water-supply pipes with different morphologies and complex and variable backgrounds, an improved VGG16 convolutional neural network classification model is proposed. Firstly, the S.E attention mechanism is add...

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Bibliographic Details
Main Authors: Qian Zhao, Lu Li, Lihua Zhang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
VGG16
SE attention mechanism
joint-loss function
corrosive classification recognition
Online Access:https://www.mdpi.com/2076-3417/12/24/12731

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