The Design of Defect Detection Algorithm for the Energy-saving Lamp Tungsten
Qinlong Gu, Defu Chen, Qiang Shen, Minghai Yao
Available Online August 2015.
- https://doi.org/10.2991/ic3me-15.2015.243How to use a DOI?
- energy-saving lamp, defect check, image recognition, ROI area
- 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.
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 -