基于欠定方程的太阳电池片表面缺陷检测算法  

DEFECT DETECTION ALGORITHM FOR SOLAR CELLS SURFACE BASED ON UNDERDETERMINED EQUATION

作　　者：范程华 王群京[1,2] 曹欣远[3] 陈兵兵[3] 齐琦[3] Fan Chenghua;Wang Qunjing;Cao Xinyuan;Chen Bingbing;Qi Qi(School of Electrical Engineering and Automation,Anhui University,Hefei 230601,China;Engineering Research Center of Pover Quality,Ministry of Education,Anhui University,Hefei 230601,China;Anhui Province Key Laboralory of simulation and design for Electronic Information System,Hefei Normal Universily,Hefei 230601,China)

机构地区：[1]安徽大学电气工程与自动化学院,合肥230601 [2]教育部电能质量工程研究中心(安徽大学),合肥230601 [3]电子信息系统仿真设计安徽省重点实验室(合肥师范学院),合肥230601

出　　处：《太阳能学报》2020年第6期288-292,共5页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(61701163);安徽省自然科学基金(1808085MF167);安徽省高等学校自然科学研究项目(KJ2018A0488,KJ2019A0716);2017年度安徽省高校优秀青年人才支持计划(gxyq2017049)。

摘　　要：针对太阳电池片表面数字图像,提出一种基于欠定方程的缺陷检测算法。该算法基于一维傅里叶变换,构建关于缺陷列在小波域中的投影系数的欠定方程,然后通过内积比较确定各高频系数中的大值所在位置,进而实现对图像缺陷点的检测。数值实验表明,该算法在应用于太阳电池片表面的线型缺陷、斑点型缺陷检测时均具备有效性。A defect detection algorithm is proposed based on the underdetermined equation for digital images of solar cells surface.Based on a one-dimensional Fourier transform,the algorithm constructs an underdetermined equation about projection coefficients of defect columns in the wavelet domain.It detects image defect points by locating the positions of large values in high frequency coefficients through inner product comparison.Numerical results indicate that the algorithm is effective for detecting both linear defects and spot defects on the solar cell surface.

关 键 词：太阳电池 小波变换 傅里叶变换 图像处理 欠定方程 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]