Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

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

Authors
Qinlong Gu, Defu Chen, Qiang Shen, Minghai Yao
Corresponding Author
Qinlong Gu
Available Online August 2015.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)
Part of series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-100-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/ic3me-15.2015.243How 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  - 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  - 3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.243
DO  - https://doi.org/10.2991/ic3me-15.2015.243
ID  - Gu2015/08
ER  -