Edge Detection Based on Canny-Oscillation Algorithm

DOI

10.2991/icacie-17.2017.31How to use a DOI?

Keywords

Canny Algorithm, Edge Detection, Image Processing, Oscillation Theory

Abstract

Based on Canny, a typical edge detection method, a generalized Canny-Oscillation algorithm of edge detection method is proposed. However, the traditional Canny algorithm bears a defect in the edge-detection of details and it is futile when noise signals are involved. To solve these problems, the group merged the oscillation theory into non-maximum suppression process in an attempt to equip the display-pixel matrices with enhanced accuracy. As can be seen in the test results, our method proves to be satisfactory and delivers better performance than traditional approaches. This strategy is still efficacious when applied to other edge-detection algorithms such as Sobel.

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  - Jun Jin
AU  - Luyin Fu
PY  - 2017/08
DA  - 2017/08
TI  - Edge Detection Based on Canny-Oscillation Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)
PB  - Atlantis Press
SP  - 132
EP  - 136
SN  - 2352-5401
UR  - https://doi.org/10.2991/icacie-17.2017.31
DO  - 10.2991/icacie-17.2017.31
ID  - Jin2017/08
ER  -