A High Precision Rotating Line Detection Method for the Rotation Angle Measurement Based on Machine Vision

Abstract

Abstract The accuracy of the rotation angle measurement method based on machine vision with the line as the reference target is limited by line detection accuracy. The Line Segment Detector (LSD) method is a high precision and effective method, but there are detected false lines and discontinuous lines when the LSD method is actually used to detect the rotating lines in the images. In this paper, we adjust three parts of the LSD method: image scaling, gradient magnitude threshold, and aligned points density threshold to detect lines accurately. The high precision detection of the rotating line is obtained by our adjusted method. Besides, the rotation angle measurement accuracy with the lines detected by our adjusted LSD reaches the measurement error level of arcseconds, which proves its effective performance.