Edge Detection Algorithm of Daliushu River Based on Adaptive Weighted Morphology

DOI

10.2991/msmee-17.2017.100How to use a DOI?

Keywords

mathematical morphology, structural element, edge detection, information entropy, adaptive weighting

Abstract

This paper proposes a method of river edge detection based on adaptive weighted mathematical morphology. Firstly, a multi-shape and multi-scale structural element is constructed, and the edge of Daliushu river is detected by structural elements of five shapes and four scales. Secondly, the information entropy of the river edge in each image is calculated, and the weight coefficient is determined adaptively according to the information entropy. Finally, the final resultant image is weighted by weighting coefficients. Experimental results show that the algorithm proposed in this paper can effectively extract the edge of Daliushu river compared with some classical edge detection algorithms.

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  - Lingxiao Huang
AU  - Chunguang Li
AU  - Lanxiang Zheng
AU  - Hefang Jing
AU  - Xuande Zhang
AU  - Hailong Ma
PY  - 2017/05
DA  - 2017/05
TI  - Edge Detection Algorithm of Daliushu River Based on Adaptive Weighted Morphology
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 506
EP  - 511
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.100
DO  - 10.2991/msmee-17.2017.100
ID  - Huang2017/05
ER  -