Research on Contour Feature Extraction Algorithms for Arc-shaped Groove of Safety Seat Base

Abstract

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.

Adaptive Gaussian and Double Thresholding for Contour Detection and Character Recognition of Two-Dimensional Area Using Computer Vision

“…A contour is an outline around something with clearly defined boundaries, which suggests that a computer is capable of computing gradient differences (significant variations in pixel values), determining whether the variations continue to exist, creating recognizable shapes, and then drawing a boundary around those shapes [10,11].…”