Laser & Optoelectronics Progress, Volume. 56, Issue 21, 211003(2019)
Surface Crack Detection of Ceramic Tile Based on Sliding Filter and Automatic Region Growth
Fig. 2. Original images of ceramic tile. (a) Crack in the tile head; (b) crack in the texture region
Fig. 3. Block diagram of detection algorithm. (a) Image preprocessing; (b) crack detection; (c) crack determination
Fig. 4. Image preprocessing of tile head area and texture area. (a) Original images; (b) red channel images; (c) median filtered images
Fig. 5. Defect detection for tile head area. (a) Filter template; (b) filtered image; (c) filter detection result
Fig. 6. Defect detection for texture area. (a) Seed point selection; (b) automatic region growth
Fig. 7. Detection results. (a) Morphological processing image of the tile head; (b) morphological processing image of the texture region
Fig. 8. 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
Fig. 9. 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
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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
Category: Image Processing
Received: Apr. 1, 2019
Accepted: Apr. 30, 2019
Published Online: Nov. 2, 2019
The Author Email: Shuguang Zeng (zengshuguang@163.com)