Laser & Optoelectronics Progress, Volume. 54, Issue 8, 81006(2017)

A Crack Detection Algorithm Based on Editing Distance in Pictorial Carved Stone

Xu Junyang1、*, Wang Huiqin1, Wu Meng1, and Jing Yali2
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  • 1[in Chinese]
  • 2[in Chinese]
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    In order to get a better detection result of crack regions on pictorial stone, a crack detection algorithm based on editing distance is proposed. The pictorial carved stone image is separated into many patches with identical sizes. For separating the crack regions from the background, the editing distances between each patch are calculated and the mask image is generated simultaneously. The blank area on mask image is filled by dilation operation which belongs to morphology. The crack detection is finished by setting a threshold to the mask image. Experimental results show that this algorithm can detect the crack regions on pictorial carved stone accurately.

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    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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    Paper Information

    Category: Image Processing

    Received: Mar. 3, 2017

    Accepted: --

    Published Online: Aug. 2, 2017

    The Author Email: Junyang Xu (29118241@qq.com)

    DOI:10.3788/lop54.081006

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