TY - GEN
T1 - Fast recognition algorithm of weld seam image under passive vision
AU - Peng, Jiang
AU - Aimin, Wang
AU - Jin, Yang
AU - Xinyi, Shen
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - For common butt welds and poor image quality of weld collection, this paper designed a fast recognition algorithm of weld based on passive vision in the case of strong arc. Multiple recognition threads are managed by calling one image recognition management thread to improve the rate of image recognition. The recognition window is selected to reduce the complexity of the image, and according to the recognition results, the initial position of the recognition window for the next frame is fed back. Through the adaptive threshold segmentation method, the image is threshold segmentation, and then the connected domain analysis is carried out to judge the target image. Compared with the traditional single threshold segmentation method, this method can segment the target image area more accurately. According to the identified target image area refinement recognition window and the iterative recognition process, the more accurate target image is segmented, and then the weld skeleton is refined by the refinement algorithm.
AB - For common butt welds and poor image quality of weld collection, this paper designed a fast recognition algorithm of weld based on passive vision in the case of strong arc. Multiple recognition threads are managed by calling one image recognition management thread to improve the rate of image recognition. The recognition window is selected to reduce the complexity of the image, and according to the recognition results, the initial position of the recognition window for the next frame is fed back. Through the adaptive threshold segmentation method, the image is threshold segmentation, and then the connected domain analysis is carried out to judge the target image. Compared with the traditional single threshold segmentation method, this method can segment the target image area more accurately. According to the identified target image area refinement recognition window and the iterative recognition process, the more accurate target image is segmented, and then the weld skeleton is refined by the refinement algorithm.
KW - Adaptive threshold segmentation
KW - Identify the iteration of the region
KW - Passive vision
KW - Weld identification
UR - http://www.scopus.com/inward/record.url?scp=85105372653&partnerID=8YFLogxK
U2 - 10.1109/WCMEIM52463.2020.00079
DO - 10.1109/WCMEIM52463.2020.00079
M3 - Conference contribution
AN - SCOPUS:85105372653
T3 - Proceedings - 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing, WCMEIM 2020
SP - 351
EP - 355
BT - Proceedings - 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing, WCMEIM 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing, WCMEIM 2020
Y2 - 4 December 2020 through 6 December 2020
ER -