Ceramic tiles are controlled to detect surface defects after production because many defects may occur on their surface during production. The detection of ceramic tile surface defects is usually performed by human observations in most factories. In this paper, an image processing method was proposed to detect the defects. In the proposed method, first, the user selects the homogenous region in the image. Then the gradient-based image processing algorithm is applied. We conducted our study using simulated and real images to which we applied the conventional image processing methods and our proposed method. Performance of the proposed method was evaluated with quality metric and subjective evaluation. The obtained results demonstrate that the proposed method has very good performance and is very promising for ceramic tile application.
Ceramic Tile, Surface Defect, Defect Detection, Image Processing
Primary Language | English |
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Subjects | Engineering, Electrical and Electronic |
Journal Section | Research Articles |
Authors | |
Publication Date | December 31, 2022 |
Submission Date | December 17, 2021 |
Acceptance Date | October 10, 2022 |
Published in Issue | Year 2022, Volume 26, Issue 6 |
Bibtex | @research article { saufenbilder1038022, journal = {Sakarya University Journal of Science}, eissn = {2147-835X}, address = {}, publisher = {Sakarya University}, year = {2022}, volume = {26}, number = {6}, pages = {1159 - 1169}, doi = {10.16984/saufenbilder.1038022}, title = {A New Gradient Based Surface Defect Detection Method for the Ceramic Tile}, key = {cite}, author = {Güngör, Murat Alparslan} } |
APA | Güngör, M. A. (2022). A New Gradient Based Surface Defect Detection Method for the Ceramic Tile . Sakarya University Journal of Science , 26 (6) , 1159-1169 . DOI: 10.16984/saufenbilder.1038022 |
MLA | Güngör, M. A. "A New Gradient Based Surface Defect Detection Method for the Ceramic Tile" . Sakarya University Journal of Science 26 (2022 ): 1159-1169 <https://dergipark.org.tr/en/pub/saufenbilder/issue/74051/1038022> |
Chicago | Güngör, M. A. "A New Gradient Based Surface Defect Detection Method for the Ceramic Tile". Sakarya University Journal of Science 26 (2022 ): 1159-1169 |
RIS | TY - JOUR T1 - A New Gradient Based Surface Defect Detection Method for the Ceramic Tile AU - Murat AlparslanGüngör Y1 - 2022 PY - 2022 N1 - doi: 10.16984/saufenbilder.1038022 DO - 10.16984/saufenbilder.1038022 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 1159 EP - 1169 VL - 26 IS - 6 SN - -2147-835X M3 - doi: 10.16984/saufenbilder.1038022 UR - https://doi.org/10.16984/saufenbilder.1038022 Y2 - 2022 ER - |
EndNote | %0 Sakarya University Journal of Science A New Gradient Based Surface Defect Detection Method for the Ceramic Tile %A Murat Alparslan Güngör %T A New Gradient Based Surface Defect Detection Method for the Ceramic Tile %D 2022 %J Sakarya University Journal of Science %P -2147-835X %V 26 %N 6 %R doi: 10.16984/saufenbilder.1038022 %U 10.16984/saufenbilder.1038022 |
ISNAD | Güngör, Murat Alparslan . "A New Gradient Based Surface Defect Detection Method for the Ceramic Tile". Sakarya University Journal of Science 26 / 6 (December 2022): 1159-1169 . https://doi.org/10.16984/saufenbilder.1038022 |
AMA | Güngör M. A. A New Gradient Based Surface Defect Detection Method for the Ceramic Tile. SAUJS. 2022; 26(6): 1159-1169. |
Vancouver | Güngör M. A. A New Gradient Based Surface Defect Detection Method for the Ceramic Tile. Sakarya University Journal of Science. 2022; 26(6): 1159-1169. |
IEEE | M. A. Güngör , "A New Gradient Based Surface Defect Detection Method for the Ceramic Tile", Sakarya University Journal of Science, vol. 26, no. 6, pp. 1159-1169, Dec. 2022, doi:10.16984/saufenbilder.1038022 |
Sakarya University Journal of Science (SAUJS)