TY - JOUR
T1 - A Hybrid Algorithm for the Laser Stripe Centreline Extraction
AU - Mao, Zirui
AU - Xu, Yuanping
AU - Guo, Benjun
AU - Li, Tukun
AU - Jiang, Xiangqian
AU - Shi, Yajing
AU - Cao, Yanlong
AU - Xu, Zhijie
AU - Zhang, Chaolong
AU - Huang, Jian
N1 - Publisher Copyright:
© 2022 The Author(s).
PY - 2022
Y1 - 2022
N2 - Centreline extraction is one of the critical processes of structured light systems that play an increasingly important role in industry 4.0. This paper proposes a novel algorithm to extract the centreline by combining an improved skeleton thinning algorithm to extract the initial centreline and an improved grey centroid algorithm to establish the final centreline. It consists of several steps: Firstly, an image difference operation and a thresholding operation are undertaken, and the Canny edge detection algorithm is applied to locate the approximate position of the laser stripe to reduce the image matrix calculation cost; Secondly, an initial centreline is extracted via the use of an image morphology operation and a skeleton thinning algorithm; Finally, a high-power grey centroid method is employed to acquire the centreline at the sub-pixel level. Experiments together with a comparison with other mainstream methods is conducted to test the validity and practicability of the proposed hybrid algorithm. The experimental results show that the speed of the proposed algorithm is 50% faster than the Steger algorithm, and the root-mean-square error is 40% lower than the grey centroid method.
AB - Centreline extraction is one of the critical processes of structured light systems that play an increasingly important role in industry 4.0. This paper proposes a novel algorithm to extract the centreline by combining an improved skeleton thinning algorithm to extract the initial centreline and an improved grey centroid algorithm to establish the final centreline. It consists of several steps: Firstly, an image difference operation and a thresholding operation are undertaken, and the Canny edge detection algorithm is applied to locate the approximate position of the laser stripe to reduce the image matrix calculation cost; Secondly, an initial centreline is extracted via the use of an image morphology operation and a skeleton thinning algorithm; Finally, a high-power grey centroid method is employed to acquire the centreline at the sub-pixel level. Experiments together with a comparison with other mainstream methods is conducted to test the validity and practicability of the proposed hybrid algorithm. The experimental results show that the speed of the proposed algorithm is 50% faster than the Steger algorithm, and the root-mean-square error is 40% lower than the grey centroid method.
KW - Centreline extraction
KW - Grey centroid method
KW - Line structured light
KW - Skeleton thinning
UR - http://www.scopus.com/inward/record.url?scp=85145233987&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2022.10.033
DO - 10.1016/j.procir.2022.10.033
M3 - Conference article
AN - SCOPUS:85145233987
SN - 2212-8271
VL - 114
SP - 30
EP - 35
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 17th CIRP Conference on Computer Aided Tolerancing, CAT 2022
Y2 - 15 June 2022 through 17 June 2022
ER -