Laser & Optoelectronics Progress, Volume. 56, Issue 21, 211003(2019)

Surface Crack Detection of Ceramic Tile Based on Sliding Filter and Automatic Region Growth

Xiaolei Li1, Shuguang Zeng2、*, Sheng Zheng2, Yanshan Xiao2, Shaowei Zhang2, and Qiang Li2
Author Affiliations
  • 1College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, Hubei 443002, China;
  • 2College of Science, China Three Gorges University, Yichang, Hubei 443002, China
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    Figures & Tables(10)
    System design
    Original images of ceramic tile. (a) Crack in the tile head; (b) crack in the texture region
    Block diagram of detection algorithm. (a) Image preprocessing; (b) crack detection; (c) crack determination
    Image preprocessing of tile head area and texture area. (a) Original images; (b) red channel images; (c) median filtered images
    Defect detection for tile head area. (a) Filter template; (b) filtered image; (c) filter detection result
    Defect detection for texture area. (a) Seed point selection; (b) automatic region growth
    Detection results. (a) Morphological processing image of the tile head; (b) morphological processing image of the texture region
    Detection effects of different algorithms for tile head area. (a) Original image of tile head area; (b) maximum entropy; (c) sobel; (d) discrete wavelet transform; (e) proposed method
    Detection effects of different algorithms for texture regions. (a) Original image of texture region; (b) maximum entropy; (c) sobel; (d) discrete wavelet transform; (e) proposed method
    • Table 1. Detection accuracy of four algorithms

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      Table 1. Detection accuracy of four algorithms

      AlgorithmNumber of errorsAccuracy /%
      Maximum entropy1288
      Sobel2377
      Discrete wavelet transform1189
      Proposed method694
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    Xiaolei Li, Shuguang Zeng, Sheng Zheng, Yanshan Xiao, Shaowei Zhang, Qiang Li. Surface Crack Detection of Ceramic Tile Based on Sliding Filter and Automatic Region Growth[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211003

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    Paper Information

    Category: Image Processing

    Received: Apr. 1, 2019

    Accepted: Apr. 30, 2019

    Published Online: Nov. 2, 2019

    The Author Email: Shuguang Zeng (zengshuguang@163.com)

    DOI:10.3788/LOP56.211003

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