摘要
针对太阳能电池片微弱缺陷难以检测的特点,提出一种基于小波域信号突变点捕捉的缺陷检测法。该方法基于一维离散信号,在小波域逐列对图像进行突变点检测,实现了对信号突变点的捕捉,并采用能量重心法对其进行校正,获得了缺陷图像所对应的正常背景,最后对原图像与恢复后的背景图像作简单的代数融合,以凸显缺陷区域。实验表明,该方法对太阳能电池片的多种表面缺陷检测具有有效性。
A defect detection method based on wavelet domain signal catastrophe-points capture is proposed to address the difficulty of detecting minor defects on solar cell.The method,based on one-dimensional discrete signal,captures signal catastrophe-points through catastrophe-points detection on the image column by column in the wavelet domain,and corrects it with the energy centrobaric method so as to obtain the normal background of the defect image,which is finally fused with the original image by simple algebraic algorithm to highlight the defected area.Experiments show that the method is effective for detecting various defects on the surface of solar cells.
作者
范程华
王群京
曹欣远
陈兵兵
齐琦
Fan Chenghua;Wang Qunjing;Cao Xinyuan;Chen Bingbing;Qi Qi(School of Electrical Engineering and Automation,Anhui University,Hefei,Anhui 230601,China;Engineering Research Center of Power Quality,Ministry of Education,Anhui University,Hefei,Anhui 230601,China;Anhui Provincial Key Laboratory of Simulation and Design for Electronic Information System,Hefei Normal University,Hefei,Anhui 230601,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2020年第6期238-243,共6页
Laser & Optoelectronics Progress
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,KJ2018ZD046,KJ2019A0716)
2017年度安徽省高校优秀青年人才支持计划(gxyq2017049)。
关键词
图像处理
缺陷检测
小波分解
能量重心法
信号突变点
image processing
defect detection
wavelet decomposition
energy centrobaric method
signal catastrophe-points
