In the process of production defects can reduce the efficiency of solar panels

so it need to defection the defect.In the process of solar cell defects automatic detection

defect segmentation process is the difficult process and the premise and key for subsequent identification.This paper based on household small solar panels for defect detection

The characteristics of this kind of panels is a rectangular frame

electrode in the central and unequal electroluminescent grayscale.According to the above characteristics

An innovative method of defect detection is proposed.First acquire the image of a priori knowledge

Then defect segmentation by using foreground segmentation

calculate the gray level difference

calculation of defect location of beginning and ending

connected to the defect area

morphological open operation processing

remove the electrode position.The experiment results show that the proposed method can successfully segment the defect.