.png){kind=icon}
返回
Weighted Matrix Decomposition for Small Surface Defect Detection
.png){kind=icon}
OA
AI
DOI：10.3390/mi14010092.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Detecting small defects against a complex surface is highly challenging but crucial to ensure product quality in industry sectors. However, in the detection performance of existing methods, there remains a huge gap in the localization and segmentation of small defects with limited sizes and extremely weak feature representation. To address the above issue, this paper presents a weighted matrix decomposition model (WMD) for small defect detection against a complex surface. Firstly, a weighted matrix is constructed based on texture characteristics of RGB channels in the defect image, which aims to improve contrast between defects and the background. Based on the sparse and low-rank characteristics of small defects, the weighted matrix is then decomposed into low-rank and sparse matrices corresponding to the redundant background and defect areas, respectively. Finally, an automatic threshold segmentation method is used to obtain the optimal threshold and accurately segment the defect areas and their edges in the sparse matrix. The experimental results show that the proposed model outperforms state-of-the-art methods under various quantitative evaluation metrics and has broad industrial application prospects.
Keyword:
defect detection
machine vision
weighted matrix decomposition
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
1.4W
被引数:
2.9W
机构
引用论文
Genome characterization of monkeypox cases detected in India: Identification of three sub clusters among A.2 lineage印度发现的天花病例的基因组特征：鉴定出A.2谱系中的三个亚群.png)
OAAI
IF0
OAAI分享收藏Electromigration statistics and damage evolution for Pb-free solder joints with Cu and Ni UBM in plastic flip-chip packages塑料倒装芯片封装中具有Cu和Ni UBM的无铅焊点的电迁移统计和损伤演化
PREAI
分享收藏Improved Step Size Newton Raphson Method using quadratic equations properties in ill-conditioned power system利用二次方程性质改进的病态电力系统步长牛顿-拉夫逊法OAAI
OAAI分享收藏Effectiveness of Electrical and Optical Detection at Pixel Circuit on Thin-Film Transistors薄膜晶体管像素电路上的电气和光学检测的有效性OAAI
OAAI分享收藏An empirical evaluation of classification algorithms for fault prediction in open source projects开源项目故障预测的分类算法实证评估OAAI
OAAI分享收藏分享收藏
查看更多内容