TY - GEN
T1 - New method for positioning detection of coronary stent radiopaque holes
AU - Xu, Jiangchang
AU - Liu, Ze
AU - Hu, Hong
AU - Xiao, Yang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Since a coronary stent is sleeved on a rotating support bar and the radiopaque holes are curved, it is necessary to control radiopaque holes face upwards during the automatic assembly of coronary stent radiopaque markers. In this paper, a new method is proposed for positioning detection of radiopaque holes based on rough positioning and precision positioning. In rough positioning, support vector machine (SVM) classification is used to learn the histograms of oriented gradients (HOG) in order to identify the presence or absence of radiopaque holes in the camera's vision. In precision positioning, the deviation angle of radiopaque holes is determined by HSV color space threshold segmentation and the fit ellipse of sub-pixel edges. The experimental results show that the proposed method can accurately and effectively detect the positive position of coronary stent radiopaque holes.
AB - Since a coronary stent is sleeved on a rotating support bar and the radiopaque holes are curved, it is necessary to control radiopaque holes face upwards during the automatic assembly of coronary stent radiopaque markers. In this paper, a new method is proposed for positioning detection of radiopaque holes based on rough positioning and precision positioning. In rough positioning, support vector machine (SVM) classification is used to learn the histograms of oriented gradients (HOG) in order to identify the presence or absence of radiopaque holes in the camera's vision. In precision positioning, the deviation angle of radiopaque holes is determined by HSV color space threshold segmentation and the fit ellipse of sub-pixel edges. The experimental results show that the proposed method can accurately and effectively detect the positive position of coronary stent radiopaque holes.
KW - coronary stent
KW - histograms of oriented gradients (HOG)
KW - radiopaque holes
KW - support vector machine (SVM)
UR - https://www.scopus.com/pages/publications/85046672302
U2 - 10.1109/ITNEC.2017.8285015
DO - 10.1109/ITNEC.2017.8285015
M3 - 会议稿件
AN - SCOPUS:85046672302
T3 - Proceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
SP - 1349
EP - 1353
BT - Proceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
Y2 - 15 December 2017 through 17 December 2017
ER -