会议专题

Automatic Inspection of Surface Crack in Solar Cell Images

Solar Cells Inspection has an important position and role in its production. Based on image acquisition and computer vision technology, an automatic inspection method for solar cell surface crack was proposed. Through a series of image pre-processing methods to reduce noise and improve the post-processing capabilities. On this basis, using Gabor avelets and LGBPHS method to obtain image features, in addition also need to enhance the feature, then using an improved Adaboost algorithm to determine the type of solar cell images whether it has the surface crack. The experimental result shows the method has an efficient and robust effect on automatic inspection of surface crack in solar cell images.

Solar Cell Gabor wavelets LGBPHS AdaBoost

Li Bin He Xianghao Fang Shuai

School of Computer and Information, Hefei University of Technology, Hefei 230009, China Anhui FangYuan Mechanical & Electrical Co.Ltd,Bengbu 233010, China

国际会议

2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

四川绵阳

英文

993-998

2011-05-23(万方平台首次上网日期,不代表论文的发表时间)