CASIA OpenIR  > 机器人视觉团队
Surface defect saliency of magnetic tile
Yibin Huang1; Congying qiu; Kui yuan1
Source PublicationThe visual computer
ISSN1432-2315
2018-08
Volume34Issue:8Pages:1-12
Abstract

Computer vision builds a connection between image processing and industrials, bringing modern perception to the automated  manufacture of magnetic tiles. In this article, we propose a real-time model called MCuePush U-Net, specifically designed for saliency detection of surface defect. Our model consists of three main components: MCue, U-Net and Push network. MCue generates three-channel resized inputs, including one MCue saliency image and two raw images; U-Net learns the most informative regions, and essentially it is a deep hierarchical structured convolutional network; Push network defines the specific location of predicted surface defects with bounding boxes, constructed by two fully connected layers and one output layer. We show that the model exceeds the state of the art in saliency detection of magnetic tiles, in which it both effectively and explicitly maps multiple surface defects from low-contrast images. The proposed model significantly reduces time cost  of machinery from 0.5s per image to 0.07s and enhances detection accuracy for image-based defect examinations.

KeywordSaliency Surface Defect Inspection
Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23367
Collection机器人视觉团队
Corresponding AuthorYibin Huang
Affiliation1.中国科学院自动化研究所
2.哥伦比亚大学
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yibin Huang,Congying qiu,Kui yuan. Surface defect saliency of magnetic tile[J]. The visual computer,2018,34(8):1-12.
APA Yibin Huang,Congying qiu,&Kui yuan.(2018).Surface defect saliency of magnetic tile.The visual computer,34(8),1-12.
MLA Yibin Huang,et al."Surface defect saliency of magnetic tile".The visual computer 34.8(2018):1-12.
Files in This Item: Download All
File Name/Size DocType Version Access License
Huang2018_Article_Su(2001KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yibin Huang]'s Articles
[Congying qiu]'s Articles
[Kui yuan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yibin Huang]'s Articles
[Congying qiu]'s Articles
[Kui yuan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yibin Huang]'s Articles
[Congying qiu]'s Articles
[Kui yuan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Huang2018_Article_SurfaceDefectSaliencyOfMagneti.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.