Detection of surface cutting defect on magnet using Fourier image reconstruction  

作　　者：王福亮 左博 

机构地区：[1]School of Mechanical and Electrical Engineering,Central South University [2]State Key Laboratory of High Performance Complex Manufacturing (Central South University)

出　　处：《Journal of Central South University》2016年第5期1123-1131,共9页中南大学学报（英文版）

基　　金：Project (51575542) supported by the National Natural Science Foundation of China;Project (2016CX010) supported by the Innovation-Driven Project of CSU,China;Project (2015CB057202) supported by the National Basic Research Program of China

摘　　要：A magnet is an important component of a speaker,as it makes the coil move back forth,and it is commonly used in mobile information terminals.Defects may appear on the surface of the magnet while cutting it into smaller slices,and hence,automatic detection of surface cutting defect detection becomes an important task for magnet production.In this work,an image-based detection system for magnet surface defect was constructed,a Fourier image reconstruction based on the magnet surface image processing method was proposed.The Fourier transform was used to get the spectrum image of the magnet image,and the defect was shown as a bright line in it.The Hough transform was used to detect the angle of the bright line,and this line was removed to eliminate the defect from the original gray image;then the inverse Fourier transform was applied to get the background gray image.The defect region was obtained by evaluating the gray-level differences between the original image and the background gray image.Further,the effects of several parameters in this method were studied and the optimized values were obtained.Experiment results show that the proposed method can detect surface cutting defects in a magnet automatically and efficiently.A magnet is an important component of a speaker,as it makes the coil move back forth,and it is commonly used in mobile information terminals.Defects may appear on the surface of the magnet while cutting it into smaller slices,and hence,automatic detection of surface cutting defect detection becomes an important task for magnet production.In this work,an image-based detection system for magnet surface defect was constructed,a Fourier image reconstruction based on the magnet surface image processing method was proposed.The Fourier transform was used to get the spectrum image of the magnet image,and the defect was shown as a bright line in it.The Hough transform was used to detect the angle of the bright line,and this line was removed to eliminate the defect from the original gray image;then the inverse Fourier transform was applied to get the background gray image.The defect region was obtained by evaluating the gray-level differences between the original image and the background gray image.Further,the effects of several parameters in this method were studied and the optimized values were obtained.Experiment results show that the proposed method can detect surface cutting defects in a magnet automatically and efficiently.

关 键 词：defect detection image process MAGNET Fourier transform 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TL594[自动化与计算机技术—计算机科学与技术]