计算机工程与应用2016，Vol.52Issue(3)：256-260,265,6.DOI:10.3778/j.issn.1002-8331.1404-0490
傅里叶重建图像法检测磁片表面刀纹缺陷
Surface cutting defect detection of magnet using Fourier image reconstruction
摘要
Abstract
Defects may appear on the surface of the magnet during cutting into smaller slice. These defects will seriously affect the performance and service life of magnetic products. So automatic surface cutting defect detection becomes an important task for magnet producing. A Fourier image reconstruction based magnet surface image process method is proposed, to the question that defect of magnet surface with dark color and low contrast can not be extracted via the classical defect detection algorithm. Fourier transform is used to get the spectrum image of the magnet image, and in the spectrum image, the defect will be shown as a bright line. Hough transform is used to detect the angle of bright line, then the frequency component of this line is removed, and revise Fourier transform is applied to get the background gray image. In the end, the defect region can be obtained by evaluating the gray-level differences between original image and reconstructed image. Experiments show that the method proposed can detect surface cutting defect of magnet accurately and efficiently.关键词
缺陷检测/图像处理/磁片/傅里叶变换Key words
defect detection/image process/magnet/Fourier transform分类
信息技术与安全科学引用本文复制引用
左博,王福亮..傅里叶重建图像法检测磁片表面刀纹缺陷[J].计算机工程与应用,2016,52(3):256-260,265,6.基金项目
湖湘青年科技创新创业平台 （）
中南大学教师研究基金(No.2013JSJJ012) （No.2013JSJJ012）
高性能复杂制造国家重点实验室自主研究课题(No.ZZYJKT2013-01A). （No.ZZYJKT2013-01A）
