Automatical object identification based on Hu moments

DOI

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.

Copyright

© 2016, 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  - Hongrui Lin
AU  - Xiaoguo Zhang
AU  - Gang Chen
PY  - 2016/11
DA  - 2016/11
TI  - Automatical object identification based on Hu moments
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 163
EP  - 168
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.21
DO  - 10.2991/aest-16.2016.21
ID  - Lin2016/11
ER  -