Laser & Optoelectronics Progress, Volume. 55, Issue 5, 051010(2018)
Surface Crack Detection Algorithm Based on Double Threshold and Tensor Voting
Fig. 1. Acquisition of the ROI image. (a) Mask process schematic; (b) original image; (c) mask image; (d) ROI image
Fig. 2. Flow chart of double threshold algorithm
Fig. 3. Bilateral filtering image after increase the dimension
Fig. 4. Tensor voting. (a) Ball voting field; (b) stick voting field; (c) schematic of tensor voting rules; (d) probability significance map
Fig. 5. Complete crack acquisition process
Fig. 6. (a) Experimental equipment; (b) image of components
Fig. 7. Performance evaluation of algorithm. (a) Different threshold; (b) different σ values; (c) runtime
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
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
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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
Category: Image processing
Received: Oct. 16, 2017
Accepted: --
Published Online: Sep. 11, 2018
The Author Email: Zhang Bin (13503811569@163.com)