Extraction method of weld centerline based on fast median filtering and morphological processing

Zhengzhong Gao; Qiang Lu; Zongfu Li; Yongkang Luo

doi:10.1117/12.2604525

5 October 2021 Extraction method of weld centerline based on fast median filtering and morphological processing

Zhengzhong Gao, Qiang Lu, Zongfu Li, Yongkang Luo

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 1191121 (2021) https://doi.org/10.1117/12.2604525
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

In order to ensure that the nondestructive testing climbing robot can track the weld more accurately and in real time, a method of weld edge detection and centerline extraction is designed. The histogram-based method is used to achieve fast median filtering of the image, and the background and target weld are segmented by adaptive thresholding. To obtain the contour information of the weld, the binarized image is subjected to secondary filtering and area filling combined with the opening operation of morphology and the erosion operation. After Canny edge detection and Hough transform linear detection, the straight line equations on both sides of the weld are obtained, and the centerline position of the weld is calculated. Experimental result show that this method greatly reduces the amount of calculation, shortens the image processing time, and can accurately identify the center of the weld.

Citation Download Citation

Zhengzhong Gao, Qiang Lu, Zongfu Li, and Yongkang Luo "Extraction method of weld centerline based on fast median filtering and morphological processing", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 1191121 (5 October 2021); https://doi.org/10.1117/12.2604525

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