A New Fractional Differential and Sobel Operator Based Edge Detection Method

DOI

10.2991/icmemtc-16.2016.352How to use a DOI?

Keywords

edge detection; fractional differential; Sobel operator; texture details.

Abstract

Present edge detection algorithms are sensitive to noises, they may not get ideal effects on image edge detections and results in unclear image edges. To overcome these shortages, a new edge detection model based on the image edge detection method of Sobel operator and theory of fractional differential is proposed. Both theoretical researches and simulation results show that the new model can be used to extract more detail edge information than the classic method with a better anti-noise capability. It is an effective edge detection method.

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  - Heng-tan Qiu
AU  - Xue-liang Ping
AU  - Jia-wei He
AU  - Yong-zhong Du
PY  - 2016/04
DA  - 2016/04
TI  - A New Fractional Differential and Sobel Operator Based Edge Detection Method
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1877
EP  - 1880
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.352
DO  - 10.2991/icmemtc-16.2016.352
ID  - Qiu2016/04
ER  -