Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Automatical object identification based on Hu moments

Authors
Hongrui Lin, Xiaoguo Zhang, Gang Chen
Corresponding Author
Hongrui Lin
Available Online November 2016.
DOI
https://doi.org/10.2991/aest-16.2016.21How to use a DOI?
Keywords
thresholding; template matching; hu moments.
Abstract
At present, the domestic production of the winding workpiece automatically has been achieved, but the workpiece inspection is mainly relied on human eyes. As the workers is easy to be fatigue, which often causing error checking. In order to improve the efficiency of product inspection and found the problem timely to avoid producing a large number of defective workpieces, the demand of automatic detection winding workpiece is need to be solved eagerly. Take the dc motor rotor for example, according to the characteristics of the rotor, the methodof template matching is been used to locate the workpiece, and the method of Hu moments similarity is used to judge workpiece is qualified or not.The experimental results shows that these method is efficient and effective.
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Proceedings
2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-257-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/aest-16.2016.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongrui Lin
AU  - Xiaoguo Zhang
AU  - Gang Chen
PY  - 2016/11
DA  - 2016/11
TI  - Automatical object identification based on Hu moments
BT  - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.21
DO  - https://doi.org/10.2991/aest-16.2016.21
ID  - Lin2016/11
ER  -