期刊
PATTERN ANALYSIS AND APPLICATIONS
卷 21, 期 1, 页码 277-289出版社
SPRINGER
DOI: 10.1007/s10044-017-0640-9
关键词
Printed circuit board; Similarity measure; Defect detection; Companion matrix; Polynomial coefficient; Rank
In this paper, an efficient similarity measure method is proposed for printed circuit board (PCB) surface defect detection. The advantage of the presented approach is that the measurement of similarity between the scene image and the reference image of PCB surface is taken without computing image features such as eigenvalues and eigenvectors. In the proposed approach, a symmetric matrix is calculated using the companion matrices of two compared images. Further, the rank of a symmetric matrix is used as similarity measure metric for defect detection. The numerical value of rank is zero for the defectless images and distinctly large for defective images. It is reliable and well tolerated to local variations and misalignment. The various experiments are carried out on the different PCB images. Moreover, the presented approach is tested in the presence of varying illumination and noise effect. Experimental results have shown the effectiveness of the proposed approach for detecting and locating the local defects in a complicated component-mounted PCB images.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据