An Image Edge Detection Method Based on Mathematical Morphology

DOI

10.2991/icmt-13.2013.23How to use a DOI?

Keywords

Mathematical morphology Edge detection Structural elements Denoising ability

Abstract

We present two kinds of improved morphological edge detectors according to: the characteristics of the classical morphological operators and the disadvantages of the single structural elements selected. The structure of the first improved operator considers multi-structural elements and omni-directional structural elements, along with the characteristics of dilation, erosion, opening and closing. The second improved operator uses a different structural element based on the first improved operator, which is characterized by multi-structure, multi-scale and multi-direction. The final experiment’s results show that, comparing with the classical morphological operators and traditional edge detectors, the edge detection effects and the denoising ability of improved operators are superior, and they are extremely practical, and can be widely used in subsequent image processing.

Copyright

© 2013, 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  - Xiaoping Ji
AU  - Haibin Zhang
AU  - Dazhi Zhang
AU  - Boying Wu
PY  - 2013/11
DA  - 2013/11
TI  - An Image Edge Detection Method Based on Mathematical Morphology
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 181
EP  - 190
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.23
DO  - 10.2991/icmt-13.2013.23
ID  - Ji2013/11
ER  -