An Image Edge Detection Algorithm Based on Improved Canny

DOI

10.2991/icmmct-17.2017.114How to use a DOI?

Keywords

Edge detection,Canny operator,Gradient templates,Adaptive filtering.

Abstract

In view of the traditional Canny edge detection algorithm in the smoothing filter will make the image become blurred and threshold selection is not adaptive, and its defects in gradient calculation, this paper proposes an improved Canny edge detection algorithm. The algorithm uses adaptive median filtering instead of Gaussian filtering. The gradient method is adopted to enhance the influence of the middle pixel to improve the edge detection precision. The Otsu algorithm is introduced to calculate the threshold value according to the image pixel information, which avoids the difficulty of artificially setting the high and low thresholds.The simulation results show that the improved Canny algorithm has good anti-noise performance, and it has stronger adaptability when detecting more edge details.

Copyright

© 2017, 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/).

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TY  - CONF
AU  - Kewen Liu
AU  - Kang Xiao
AU  - Hongxia Xiong
PY  - 2017/04
DA  - 2017/04
TI  - An Image Edge Detection Algorithm Based on Improved Canny
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 533
EP  - 537
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.114
DO  - 10.2991/icmmct-17.2017.114
ID  - Liu2017/04
ER  -