Proceedings of the International Conference on Education, Management, Commerce and Society

An Edge Detection Algorithm Based on Adaptive Threshold

Authors
Weijian Mo
Corresponding Author
Weijian Mo
Available Online January 2015.
DOI
10.2991/emcs-15.2015.38How to use a DOI?
Keywords
Edge detection algorithm; Wavelet decomposition; Directional characteristics; Threshold
Abstract

The threshold need artificial hypothesis in the existing edge detection algorithm. In response to this phenomenon, we propose an edge detection algorithm is based on adaptive threshold. Article algorithm was studying the characteristics of wavelet transform. And it was combined with the traditional edge detection algorithm to reset the threshold. So we can use this adaptive Threshold to search the edge signal. Experimental results show that the results consistent with the expected results. Article algorithm can kept a better edge detection effect under different condition. And it cans effective extract the edges of each frequency sub-band.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the International Conference on Education, Management, Commerce and Society
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2015
ISBN
10.2991/emcs-15.2015.38
ISSN
2352-5398
DOI
10.2991/emcs-15.2015.38How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Weijian Mo
PY  - 2015/01
DA  - 2015/01
TI  - An Edge Detection Algorithm Based on Adaptive Threshold
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 180
EP  - 184
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.38
DO  - 10.2991/emcs-15.2015.38
ID  - Mo2015/01
ER  -