Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)

Edge detection of fuzzy droplet image based on combination of Canny operator and morphology operation

Authors
Yingqiang Xu, Zhiniu Xu, Yang Li
Corresponding Author
Yingqiang Xu
Available Online August 2015.
DOI
10.2991/icmeis-15.2015.8How to use a DOI?
Keywords
image processing; edge detection; remove a small target; morphological operations.
Abstract

On the basis of Canny operator on image processing, The edge extraction of the fuzzy droplet images is carried out by combination of removing a small target and morphological open operation .First, Use edge detection operator to detect the image edge preliminary, and then call remove a small target which belongs to MATLAB internal function to filtering the results of the edge detection, and finally with morphological operations for final processing. The results showed that: the combination of Canny operator, open operation and remove a small target works much better than the classical Canny operator.

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/).

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Volume Title
Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
10.2991/icmeis-15.2015.8
ISSN
2352-5401
DOI
10.2991/icmeis-15.2015.8How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Yingqiang Xu
AU  - Zhiniu Xu
AU  - Yang Li
PY  - 2015/08
DA  - 2015/08
TI  - Edge detection of fuzzy droplet image based on combination of Canny operator and morphology operation
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 33
EP  - 35
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.8
DO  - 10.2991/icmeis-15.2015.8
ID  - Xu2015/08
ER  -