| Issue |
MATEC Web Conf.
Volume 128, 2017
2017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 5 | |
| Section | Signal & Image Processing | |
| DOI | https://doi.org/10.1051/matecconf/201712801017 | |
| Published online | 25 October 2017 | |
The Application Study on the Improved Canny Algorithm for Edge Detection in Strain Gauge Image
1 Shaanxi University of Technology, School of Physics and Telecommunication Engineering, Hanzhong, Shaanxi, 723000, china
2 Shaanxi University of Technology, School of Electrical Engineering, Hanzhong, Shaanxi, 723000, china
a Corresponding author: Qin Wei@rain301@126.com
In order to realize automatic cutting of strain gauge diaphragm, it is needed to detect and identify strain gauge edge. Though classic canny algorithm can detect the edge of strain gauge, it has such problems as low accuracy, being easily influenced by light, random noise. This paper proposes an improved canny algorithm, replacing Gauss filtering of classic canny algorithm with median filtering, improving gradient magnitude calculation method, and selecting threshold with iteration. Compared to classic canny algorithm the method can improve the ability to resist random noise while detecting strain gauge edge more accurately. Application of the method to strain gauge edge detection will lay foundation for realization of strain gauge automatic cutting.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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