• Laser & Optoelectronics Progress
  • Vol. 54, Issue 8, 81006 (2017)
Xu Junyang1、*, Wang Huiqin1, Wu Meng1, and Jing Yali2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/lop54.081006 Cite this Article Set citation alerts
    Xu Junyang, Wang Huiqin, Wu Meng, Jing Yali. A Crack Detection Algorithm Based on Editing Distance in Pictorial Carved Stone[J]. Laser & Optoelectronics Progress, 2017, 54(8): 81006 Copy Citation Text show less
    References

    [1] Liu Taixiang. Summary of the study on stone-carving in the Han dynasty[J]. Academic Forum of Nandu (Journal of the Humanities and Social Sciences), 2002, 22(3): 8-18.

    [2] Guo Quanmin, Liu Caizhen. Pavement crack detection method in concrete pavement disease detection and estimation system[J]. Foreign Electronic Measurement Technology, 2015, 34(7): 47-50.

    [3] Wang X N, Wang X N, Hou D X, et al. Surface crack imaging based on delayed temperature difference at symmetric points by laser spot thermography[J]. Instrumentation, 2014, 1(2): 30-37.

    [4] Nie Fangyan, Li Jianqi, Zhang Pingfeng, et al. A threshold selection method for image segmentation based on Tsallis relative entropy[J]. Laser & Optoelectronics Progress, 2017, 54(7): 071002.

    [5] Xu Huan, Li Zhenbi, Jiang Yuanyuan, et al. Pavement crack detection based on OpenCV and improved Canny operator[J]. Computer Engineering and Design, 2014, 35(12): 4254-4258.

    [6] Zhao Fangzhen, Liang Haiying, Wu Xianglin, et al. Active contour segmentation model based on local and global Gaussian fitting[J]. Laser & Optoelectronics Progress, 2017, 54(5): 051006.

    [7] Xie Zhinan, Zheng Dong, Chen Jiayao, et al. A tumor segmentation method of improved Chan-Vese model for liver cancer ablation computed tomography image[J]. Laser & Optoelectronics Progress, 2017, 54(2): 021702.

    [8] Cornelis B, Ruzic T, Gezels E, et al. Crack detection and inpainting for virtual restoration of paintings: the case of the Ghent Altarpiece[J]. Signal Processing, 2013, 93(3): 605-619.

    [9] Wang Kai, Wang Huiqin, Wu Meng. Virtual restoration method of cracks in mural[J]. Computer Engineering and Applications, 2014, 50(15): 136-139.

    [10] Padalkar M G, Joshi M V. Auto-inpainting heritage scenes: a complete framework for detecting and infilling cracks in images and videos with quantitative assessment[J]. Machine Vision and Applications, 2015, 26(2/3): 317-337.

    [11] Wagner R A, Fischer M J. The string-to-string correction problem[J]. Journal of the ACM (JACM), 1974, 21(1): 168-173.

    [12] Zhou Hanping. Study on application of Levenshtein distance in programming test automatic scoring[J]. Computer Applications and Software, 2011, 28(5): 328-331.

    [13] Zhao Zuopeng, Yin Zhimin, Wang Qianping, et al. An improved algorithm of Levenshtein distance and its application in data processing[J]. Journal of Computer Applications, 2009, 29(2): 424-426.

    [14] Davanzo G, Medvet E, Bartoli A. Anomaly detection techniques for a web defacement monitoring service[J]. Expert Systems with Applications, 2011, 38(10): 12521-12530.

    [15] Levenshtein V I. Binary codes capable of correcting deletions, insertions and reversals[J]. Soviet Physics Doklady, 1966, 10(1): 707-710.

    [16] Dai Qingyun, Yu Yinglin. The advances of mathematical morphology in image processing[J]. Control Theory & Applications, 2001, 18(4): 478-482.

    [17] Jiang Hua, Han Anqi, Wang Meijia, et al. Solution algorithm of string similarity based on improved Levenshtein distance[J]. Computer Engineering, 2014, 40(1): 222-227.

    [18] Qu Zhong, Lin Lidan, Guo Yang. Algorithm of image crack detection based on morphology and region extends[J]. Computer Science, 2014, 41(11): 297-300.

    Xu Junyang, Wang Huiqin, Wu Meng, Jing Yali. A Crack Detection Algorithm Based on Editing Distance in Pictorial Carved Stone[J]. Laser & Optoelectronics Progress, 2017, 54(8): 81006
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