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

  • Haiyong ChenEmail author
  • Huifang Zhao
  • Da Han
  • Haowei Yan
  • Xiaofang Zhang
  • Kun Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11256)


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 



This work was supported in part by National Natural Science Foundation (NNSF) of China under Grant 61403119, 61873315 Natural Science Foundation of Hebei Province under Grant F2018202078, Young Talents Project in Hebei province under Grant 210003 and technology Project of Hebei Province under Grant 17211804D.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Haiyong Chen
    • 1
    Email author
  • Huifang Zhao
    • 1
  • Da Han
    • 1
  • Haowei Yan
    • 1
  • Xiaofang Zhang
    • 1
  • Kun Liu
    • 1
  1. 1.School of Artificial IntelligenceHebei University of TechnologyTianjinChina

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