Open AccessResearch on Contour Feature Extraction Algorithms for Arc-shaped Groove of Safety Seat Base
Author(s) -
Lipeng Liang,
Yonghua Lu,
Hu Zhu,
Zhibin Ye,
Chai Zhong
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1828/1/012018
Subject(s) - curvature , groove (engineering) , position (finance) , corner detection , feature (linguistics) , computer science , feature extraction , base (topology) , pixel , artificial intelligence , algorithm , computer vision , scale space , arc length , scale (ratio) , arc (geometry) , geometry , mathematics , engineering , image (mathematics) , image processing , mechanical engineering , mathematical analysis , linguistics , philosophy , physics , finance , quantum mechanics , economics
The spatial position of the seat base is complicated. The contour structure of arc groove is complex and its contour feature extraction is difficult. Aiming at the above problems, this paper presents an improved corner detection algorithm based on Curvature Scale Space (CSS), which uses adaptive local curvature and dynamic angle threshold to accurately extract corner points of arc groove contour. The correct corner positioning error of the algorithm proposed in this paper is only 0.99 pixel. The experimental results show that this method can effectively implement contour feature extraction.