| Issue |
MATEC Web Conf.
Volume 309, 2020
2019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
|
|
|---|---|---|
| Article Number | 03031 | |
| Number of page(s) | 6 | |
| Section | Smart Algorithms and Recognition | |
| DOI | https://doi.org/10.1051/matecconf/202030903031 | |
| Published online | 04 March 2020 | |
Research on edge detection algorithm based on improved sobel operator
Institute of Information Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China
* Corresponding author: 1635392009@qq.com
In order to solve the shortcomings of traditional Sobel edge detection operator, such as low accuracy of image edge location and rough edge extracted, an improved edge detection algorithm based on Sobel operator is proposed. Firstly, in the aspect of the accuracy of edge detection, the direction template is increased from two directions of horizontal and vertical to eight directions; secondly, in terms of the rough edge extracted and the noise sensitivity, combined with the operation of mathematical morphology, the edge can be refined, and at the same time, some part of the noise can be suppressed. The experiment results show that the improved edge detection algorithm has a better accuracy in image positioning, and a certain ability to suppress noise. Finally, the detected image edge of the image is more delicate and clear than the traditional Sobel operator.
Key words: Edge detection / Sobel operator / Morphology / Thinning edge / Location accuracy
© The Authors, published by EDP Sciences, 2020
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