An accurate method for detecting moving circular face with chamfer in video

Author:

Shu Min,Li Baofu

Abstract

Abstract A Circle is a common shape in mechanical parts, which projects as ellipse in image or video. In industrial video, target ellipse is often chaotic due to chamfer interference and external interference. An algorithm is proposed to precisely detect ellipse in video on basis of arc analysis in this paper. Compared with the previous methods, the algorithm adds the step of re-extracting the omitted arcs in first detection, and distinguishes target from interference, so it is more accurate. Combined with a video about the fatigue experiment of self-lubricating joint bearing to analyze, the effectiveness and accuracy of this algorithm are verified intuitively.

Publisher

IOP Publishing

Subject

General Medicine

Reference23 articles.

1. Research on Real-time Vision Detection Technology for Motion Feature of High-speed Mechanical System;Yaodong;Journal of Mechanical Engineering,2016

2. A method and means for recognizing complex patterns;Hough,1962

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