A new Feature-Fusion method based on training dataset prototype for surface defect recognition-Reference-Cited by-同舟云学术

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A new Feature-Fusion method based on training dataset prototype for surface defect recognition

Published:2021-10 Issue: Volume:50 Page:101392
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Wang Yucheng,Li Xinyu,Gao Yiping,Wang Lijian,Gao Liang

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Huazhong University of Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference30 articles.

1. A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure;Koch;Adv. Eng. Informatics.,2015

2. A smart surface inspection system using faster R-CNN in cloud-edge computing environment;Wang;Adv. Eng. Informatics.,2020

3. Inspection equipment study for subway tunnel defects by grey-scale image processing;Huang;Adv. Eng. Informatics.,2017

4. Nickel foam surface defect detection based on spatial-frequency multi-scale MB-LBP;Fang Cao;Soft Comput.,2020

5. Steel Surface Defect Classification Based on Discriminant Manifold Regularized Local Descriptor;Zhao;IEEE Access.,2018

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