• Laser & Optoelectronics Progress
  • Vol. 55, Issue 5, 051010 (2018)
Huixian Li, Bin Zhang*, Dan Liu, Tengda Yang, Wenhao Song, and Fengyu Li
Author Affiliations
  • College of Physical Engineering, Zhengzhou University, Zhengzhou, Henan 450001, China
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    DOI: 10.3788/LOP55.051010 Cite this Article Set citation alerts
    Huixian Li, Bin Zhang, Dan Liu, Tengda Yang, Wenhao Song, Fengyu Li. Surface Crack Detection Algorithm Based on Double Threshold and Tensor Voting[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051010 Copy Citation Text show less
    Acquisition of the ROI image. (a) Mask process schematic; (b) original image; (c) mask image; (d) ROI image
    Fig. 1. Acquisition of the ROI image. (a) Mask process schematic; (b) original image; (c) mask image; (d) ROI image
    Flow chart of double threshold algorithm
    Fig. 2. Flow chart of double threshold algorithm
    Bilateral filtering image after increase the dimension
    Fig. 3. Bilateral filtering image after increase the dimension
    Tensor voting. (a) Ball voting field; (b) stick voting field; (c) schematic of tensor voting rules; (d) probability significance map
    Fig. 4. Tensor voting. (a) Ball voting field; (b) stick voting field; (c) schematic of tensor voting rules; (d) probability significance map
    Complete crack acquisition process
    Fig. 5. Complete crack acquisition process
    (a) Experimental equipment; (b) image of components
    Fig. 6. (a) Experimental equipment; (b) image of components
    Performance evaluation of algorithm. (a) Different threshold; (b) different σ values; (c) runtime
    Fig. 7. Performance evaluation of algorithm. (a) Different threshold; (b) different σ values; (c) runtime
    Image processing and results with double threshold. (a) ROI images; (b) images obtained by Otsu algorithm; (c) images obtained by the double threshold
    Fig. 8. Image processing and results with double threshold. (a) ROI images; (b) images obtained by Otsu algorithm; (c) images obtained by the double threshold
    Crack detection on five images. (a) Original images; (b) detection results by crack connection algorithm; (c) cracks detection results by proposed algorithm; (d) truth cracks
    Fig. 9. Crack detection on five images. (a) Original images; (b) detection results by crack connection algorithm; (c) cracks detection results by proposed algorithm; (d) truth cracks
    IndexCrack fragments' connection algorithmAlgorithm based on double threshold and tensor voting
    Precision0.580.81
    Recall0.750.82
    F0.640.81
    Table 1. Three evaluation parameters of two algorithms at the best F value
    Huixian Li, Bin Zhang, Dan Liu, Tengda Yang, Wenhao Song, Fengyu Li. Surface Crack Detection Algorithm Based on Double Threshold and Tensor Voting[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051010
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