Double Low-Rank and Sparse Decomposition for Surface Defect Segmentation of Steel Sheet

Double Low-Rank and Sparse Decomposition for Surface Defect Segmentation of Steel Sheet

Surface defect segmentation supports real-time surface defect detection system of steel sheet by reducing redundant information and highlighting the critical defect regions for high-level image understanding. Existing defect segmentation methods usually lack adaptiveness to different shape, size and...

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Bibliographic Details
Main Authors: Shiyang Zhou, Shiqian Wu, Huaiguang Liu, Yang Lu, Nianzong Hu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Applied Sciences
Subjects:
surface defect of steel sheet
image segmentation
saliency detection
low-rank and sparse decomposition
Online Access:http://www.mdpi.com/2076-3417/8/9/1628

Internet

http://www.mdpi.com/2076-3417/8/9/1628

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