An Improved Fractional Differential Edge Detection Algorithm

DOI

10.2991/mmebc-16.2016.372How to use a DOI?

Keywords

Edge Detection; Fractional Differential; Image Enhancement; Multi-scale

Abstract

In order to extract detailed edge information, a multi-scale fractional differential edge detection algorithm is proposed in this paper. Firstly, the G-L factional differential is applied to enhance image with two different fraction differential orders (one is small and the other is big), then, the edges can be gotten by subtraction the two enhanced images. Experiments and results showed that the proposed method can not only efficiently detect the edges information of simple objects, but also can detect the edges of complex objects.

Copyright

© 2016, 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  - Qingli Chen
AU  - Guo Huang
AU  - Tao Men
AU  - Hongyin Qin
AU  - Mingrong Wang
PY  - 2016/06
DA  - 2016/06
TI  - An Improved Fractional Differential Edge Detection Algorithm
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1840
EP  - 1844
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.372
DO  - 10.2991/mmebc-16.2016.372
ID  - Chen2016/06
ER  -