Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Adaptive Algorithm of Edge Detection Based on Canny

Authors
Tao Ma, Jian-Dong Fang
Corresponding Author
Tao Ma
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.26How to use a DOI?
Keywords
canny operator; edge detection; adaptive algorithm
Abstract
Aiming at the problem that the high and low thresholds need to be set artificially for Canny edge detection, this paper proposes an adaptive algorithm to set the high and low thresholds by the mean and standard deviation of the non-maximally suppressed images. The simulation results show that the algorithm is feasible and effective, however, some pseudo-edges and edge discontinuities still exist in the processing of some images, so further improvement is needed.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/ceis-16.2016.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Tao Ma
AU  - Jian-Dong Fang
PY  - 2016/11
DA  - 2016/11
TI  - Adaptive Algorithm of Edge Detection Based on Canny
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.26
DO  - https://doi.org/10.2991/ceis-16.2016.26
ID  - Ma2016/11
ER  -