Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Surface defect saliency of magnetic tile | |
Yibin Huang1; Congying qiu; Kui yuan1 | |
发表期刊 | The visual computer |
ISSN | 1432-2315 |
2018-08 | |
卷号 | 34期号:8页码:1-12 |
摘要 | 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. |
关键词 | Saliency Surface Defect Inspection |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000511966800008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23367 |
专题 | 模式识别国家重点实验室_机器人视觉 |
通讯作者 | Yibin Huang |
作者单位 | 1.中国科学院自动化研究所 2.哥伦比亚大学 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Huang2018_Article_Su(2001KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论