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Proceedings Paper

A high precision edge detection method for the blurred image in motion measurement
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Paper Abstract

The motion measurement based on machine vision has been more and more widely used in robots, object tracking and other fields. However, the relative motion between camera and object often causes images blurred, which decreases the reliability of detection. To improve the detection accuracy of the motion-blurred images edges, a comprehensive method is proposed. By analyzing the grayscale distribution of the object images in different motion directions, we used different methods to enhance the low frequency sub-band images which were obtained by wavelet transform. The subpixel edge detection method based on cubic spline interpolation was applied to detect the edges of the blurred and enhanced images, respectively. Experimental results show that the proposed method avoids the misdetection of the blurred images edges, and obtains higher edge detection accuracy.

Paper Details

Date Published: 7 March 2019
PDF: 6 pages
Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 110532K (7 March 2019); doi: 10.1117/12.2511940
Show Author Affiliations
Zhang Ying, National Institute of Metrology (China)
Chenguang Cai, National Institute of Metrology (China)
Zhihua Liu, National Institute of Metrology (China)
Yang Ming, Beijing Univ. of Chemical Technology (China)

Published in SPIE Proceedings Vol. 11053:
Tenth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Jie Lin, Editor(s)

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