TY - GEN
T1 - The defect detection of personalized print based on template matching
AU - Ma, Binwu
AU - Zhu, Wei
AU - Wang, Yanghong
AU - Wu, Huan
AU - Yang, Yanzhu
AU - Fan, Hui
AU - Xu, Hongwei
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Personalized printings are more and more used widely in daily life because it is better suited to people's aesthetics. Compared with conventional prints, its surface is more complicated and irregular, so the conventional algorithm of template matching cannot accurately detect its defects. Aimed at this case, a kind of algorithm named secondary template matching is proposed in this paper, Firstly, the image to be tested and the template image is matched to extract ROI, and then the four-threshold algorithm is used to distinguish the foreground and the background of the image. Finally, the second template matching for the foreground and background areas is performed to extract the defect respectively. From the experimental results, it can be found that the new algorithm of template matching can accurately detect the defects of the printed matter and the robustness.
AB - Personalized printings are more and more used widely in daily life because it is better suited to people's aesthetics. Compared with conventional prints, its surface is more complicated and irregular, so the conventional algorithm of template matching cannot accurately detect its defects. Aimed at this case, a kind of algorithm named secondary template matching is proposed in this paper, Firstly, the image to be tested and the template image is matched to extract ROI, and then the four-threshold algorithm is used to distinguish the foreground and the background of the image. Finally, the second template matching for the foreground and background areas is performed to extract the defect respectively. From the experimental results, it can be found that the new algorithm of template matching can accurately detect the defects of the printed matter and the robustness.
KW - Defect Detection
KW - Personality Printing
KW - Template Matching
UR - https://www.scopus.com/pages/publications/85050856583
U2 - 10.1109/ICUS.2017.8278352
DO - 10.1109/ICUS.2017.8278352
M3 - Conference contribution
AN - SCOPUS:85050856583
T3 - Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
SP - 266
EP - 271
BT - Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
A2 - Xu, Xin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
Y2 - 27 October 2017 through 29 October 2017
ER -