基于傅立叶图像重建的车用换热器表面缺陷检测  

Surface Defect Detection for Vehicle Heat Exchanger by Using Fourier Image Reconstruction

作　　者：项文波[1] 戴跃伟[2] 茅耀斌[1] 

机构地区：[1]南京理工大学自动化学院,江苏南京210094 [2]江苏科技大学电子信息学院,江苏镇江212003

出　　处：《指挥控制与仿真》2016年第3期126-130,共5页Command Control & Simulation

基　　金：国家科技重大专项课题(2011ZX04002-051)

摘　　要：针对车用换热器表面缺陷检测问题,提出一种利用傅立叶图像重建提取方向纹理表面缺陷的算法。该算法采用局部二值模式(LBP)描述去除光照影响并对LBP图像进行快速傅立叶变换,通过频率域滤波和图像重建有效去除方向纹理的影响,由二值化及团块分析最终提取换热器表面缺陷区域。实验结果证明,本文算法可以快速、有效地检测出换热器表面缺陷。To find the deficiency on the surface of a vehicle heat exchanger,this paper has brought out a defect detection algorithm for directional texture surface based on image Fourier reconstruction. The algorithm first performs the local binary pattern（ LBP） transformation on original image to alleviate uneven lighting condition. Then,the fast Fourier transformation is used to transform the LBP image into spectrum domain. Through spectrum filtering by which all high-frequent coefficients and coefficients with high energy are suppressed,directional texture are eliminated on the Fourier reconstructed image. Thus,a general binarization process followed by a blob analysis can be employed on the result homogenous image to finally extract defect areas. Experimental results have demonstrated the effectiveness and swiftness of the proposed algorithm.

关 键 词：局部二值模式 表面缺陷检测 图像重建 车用换热器 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]