LI Guan-nan, TAN Qing-chang, ZHANG Kuo, ZHANG Yu-peng. Solar Cells Defect Detection in Electroluminescence Images[J]. Chinese Journal of Luminescence, 2013,34(10): 1400-1407
LI Guan-nan, TAN Qing-chang, ZHANG Kuo, ZHANG Yu-peng. Solar Cells Defect Detection in Electroluminescence Images[J]. Chinese Journal of Luminescence, 2013,34(10): 1400-1407 DOI: 10.3788/fgxb20133410.1400.
The defect will be introduced inevitably during the complexity manufacturing process of the solar cell. The existence of the defect significantly affects generating efficiency and service life. In this paper
the electroluminescence imaging technology is applied to highlight the defect. Aiming at the low rate of artificial detection and deficiency of objectivity
the algorithm of detecting defect which is based on statistics is proposed. In detection
the extensional Haar features are selected as the feature values of the pixel points. The improved fuzzy C-means clustering method is used to cluster the normal samples. By judging whether the testing sample is in the cluster of normal samples
the defect detection is carried out
and the location of the defect is provide at the same time. Experimental result shows that the total recognition rate of the defect in the electroluminescence image of solar cell is 96%.
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