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A Surface Defect Detection Framework for Glass Bottle Bottom Using Visual Attention Model and Wavelet Transform

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成果类型:
期刊论文
作者:
Zhou, Xianen;Wang, Yaonan;Zhu, Qing;Mao, Jianxu*;Xiao, Changyan;...
通讯作者:
Mao, Jianxu
作者机构:
[Wang, Yaonan; Mao, Jianxu; Zhou, Xianen; Xiao, Changyan; Zhu, Qing] Hunan Univ, Coll Elect & Informat Engn, Natl Engn Lab Robot Visual Percept & Control Tech, Changsha 410082, Peoples R China.
[Lu, Xiao] Hunan Normal Univ, Coll Engn & Design, Changsha 410081, Peoples R China.
[Zhang, Hui] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410114, Peoples R China.
通讯机构:
[Mao, Jianxu] H
Hunan Univ, Coll Elect & Informat Engn, Natl Engn Lab Robot Visual Percept & Control Tech, Changsha 410082, Peoples R China.
语种:
英文
关键词:
Anisotropic diffusion;defect detection;saliency detection;superpixel segmentation;wavelet transform
期刊:
IEEE Transactions on Industrial Informatics
ISSN:
1551-3203
年:
2020
卷:
16
期:
4
页码:
2189-2201
基金类别:
This article was supported in part by the National Natural Science Foundation of China under Grant 61733004, Grant 61573134 and Grant 61971071, in part by the National Key R&D Program of China under Grant 2018YFB1308200, in part by the Science and Technology Project of Hunan Province under Grant 2017XK2102, Grant 2018GK2022, and Grant 2018JJ3079, in part by the Scientific Research Fund of Hunan Provincial Education Department under Grant 17C0046, and in part by the Independent Research Subject Funding from the Hunan University State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body. Paper no. TII-19-0205. (Corresponding author: Jianxu Mao.)
机构署名:
本校为其他机构
院系归属:
电气与信息工程学院
摘要:
Glass bottles must be thoroughly inspected before they are used for packaging. However, the vision inspection of bottle bottoms for defects remains a challenging task in quality control due to inaccurate localization, the difficulty in detecting defects in the texture region, and the intrinsically nonuniform brightness across the central panel. To overcome these problems, we propose a surface defect detection framework, which is composed of three main parts. First, a new localization method named entropy rate superpixel circle detection (ERSCD)...

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