The Design of Defect Detection Algorithm for the Energy-saving Lamp Tungsten

DOI

10.2991/ic3me-15.2015.243How to use a DOI?

Keywords

energy-saving lamp, defect check, image recognition, ROI area

Abstract

In the energy-saving lamp production, there may be some defects such as no lamp post, too long tail, excess or not enough powder coating. The paper proposes the defect detection algorithm based on tungsten defect features with machine vision. It contains obtaining of tungsten area, filtering, marking out of image coordinate, feature extraction and tungsten image defect detection. The work is completed in Embedded system with TMS320DM6467 processor and Davinci software framework. The experiment shows the algorithm is effective.

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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TY  - CONF
AU  - Qinlong Gu
AU  - Defu Chen
AU  - Qiang Shen
AU  - Minghai Yao
PY  - 2015/08
DA  - 2015/08
TI  - The Design of Defect Detection Algorithm for the Energy-saving Lamp Tungsten
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1263
EP  - 1268
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.243
DO  - 10.2991/ic3me-15.2015.243
ID  - Gu2015/08
ER  -