会议专题

Robust Crack Defect Detection in Inhomogeneously Textured Surface of Near Infrared Images

  Robust crack defect detection in solar cells has been challenging because of the inhomogeneously textured surface,low contrast between crack defect and background,the diversity of crack types,and so on.To overcome these challenges,this paper presents a new robust crack defect detection scheme for multicrystalline solar cells.Firstly,a steerable evidence filter is designed to process EL image to obtain the response map,which enhances the contrast between crack and background and provides evidence for the presence of crack defect.Secondly,complete crack extraction from the response map is employed.Finally,the complete crack can be located in the inspection image by the crack skeleton extraction.Experimental results on defective and defect-free EL images show that the proposed scheme is robust,and various cracks can be effectively detected,which outperforms the previous methods.

Crack defect Inhomogeneous texture Steerable evidence filter

Haiyong Chen Huifang Zhao Da Han Haowei Yan Xiaofang Zhang Kun Liu

School of Artificial Intelligence,Hebei University of Technology,Tianjin 300130,China

国际会议

中国模式识别与计算机视觉大会(PRCV2018)

广州

英文

511-523

2018-11-23(万方平台首次上网日期,不代表论文的发表时间)