基于图像处理的低效率太阳能电池片自动检测  

Automatic Detection of Low-efficiency Solar Cells Based on Image Processing

作　　者：李佶逊 

机构地区：[1]华东师范大学信息科学技术学院,上海200241

出　　处：《电子科技》2014年第11期42-44,55,共4页Electronic Science and Technology

摘　　要：太阳能作为一种普遍均匀、清洁环保的绿色能源,具有较大的开发潜力。针对多晶硅太阳能电池片生产加工过程中存在的各种缺陷,尤其是低效率(黑心)片对太阳能电池片能效的影响,文中研究了一种基于图像处理的低效率太阳能电池片自动检测方法。首先对多晶硅太阳能电池片的相关概念以及低效率(黑心)片产生的原因做了分析,并在此基础上,对基于电致发光图像处理的自动检测方法进行了研究,给出了检测原理和检测系统结构,重点对图像处理技术进行了探讨,通过峰值二值化方法对电致发光图像灰度进行二值化处理,避免了给定阈值二值化处理的不足,同时给出了算法实现流程及实验结果。所设计的自动检测方法为实现低效率太阳能电池片检测提供了一定的理论基础。As a clean and environmentally friendly green energy,solar energy has great application prospects.For various defects in the production of polysilicon solar cells,especially the low efficiency cells,the automatic detection of low-efficiency solar cells based on image processing is studied. This article first introduces the concept of polysilicon solar cells and the reasons of inefficient cells,after which a method for automatic detection of electroluminescence based on image processing is analyzed. Detection principles and detection system structure are described.The peak binarization methods for gray electroluminescence image binarization processing are studied,which avoid the given threshold binarization processing deficiencies. The algorithm＇s implementation process is also described.This designed automatic detection method provides theoretical basis for the detection of low efficiency solar cells.

关 键 词：多晶硅太阳能电池片 电致发光 图像处理 二值化 自动检测 

分 类 号：TN914.42[电子电信—通信与信息系统]