A Multi-scale Morphological Algorithm for AFM Micrograph Edge Detection

DOI

10.2991/itms-15.2015.226How to use a DOI?

Keywords

Micrograph; Edge detection; Multi-scale; Morphology

Abstract

In this paper we present a new morphological edge detection method using a multi-scale approach. Edges of different fineness are detected using operator at different scale, and then they are regulated in order to eliminate the difference of gray attribution among multi-scale edges, and then combined to produce all the edges of interest in an image using the adaptive fusion method of minimums. The experiment results show that the fuzziness of image edge detection is reduced, and noise is removed efficiently, and distinct edges can be detected efficiently for micrograph.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Xue Gang Fu
AU  - Hua Jiang
PY  - 2015/11
DA  - 2015/11
TI  - A Multi-scale Morphological Algorithm for AFM Micrograph Edge Detection
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 942
EP  - 945
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.226
DO  - 10.2991/itms-15.2015.226
ID  - Fu2015/11
ER  -