Abstract
In this research, a method to detect minute flaws on metal parts is proposed to remove the defective parts before assembling in a factory. The input gray-scale images of metal parts are used directly to recognize the flaw without any image conversion to shorten the recognition time. The recognition problem to find flaws and detect its position on the metal parts is converted here to another problem to search for the maximum peak and the variables giving the peak. Then the recognition problem can be treated as optimization problem, and this conversion allow us to utilize the high performances of GA in the optimization. The effectivenesses and problems of proposed method are studied on standing points of the recognition speed and the quantitative recognition ability. Based on the analysis, we furthermore improved our system to increase the detecion rate of the flaws, that is, the lignting direction is changed to find the best lighting condition that can emphasize the contrast between the metal surface and the bruise by using the reflection character of the hairline on the metal resulted by polishing process.
| Original language | English |
|---|---|
| Title of host publication | IECON Proceedings (Industrial Electronics Conference) |
| Pages | 1240-1245 |
| Number of pages | 6 |
| Volume | 2 |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | IECON 2004 - 30th Annual Conference of IEEE Industrial Electronics Society - Busan, Korea, Republic of Duration: Nov 2 2004 → Nov 6 2004 |
Other
| Other | IECON 2004 - 30th Annual Conference of IEEE Industrial Electronics Society |
|---|---|
| Country | Korea, Republic of |
| City | Busan |
| Period | 11/2/04 → 11/6/04 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Finding and quantitative evaluation of minute flaws on metal surface using hairline. / Zhu, Jianing; Minami, Mamoru.
IECON Proceedings (Industrial Electronics Conference). Vol. 2 2004. p. 1240-1245 TC4-3.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Finding and quantitative evaluation of minute flaws on metal surface using hairline
AU - Zhu, Jianing
AU - Minami, Mamoru
PY - 2004
Y1 - 2004
N2 - In this research, a method to detect minute flaws on metal parts is proposed to remove the defective parts before assembling in a factory. The input gray-scale images of metal parts are used directly to recognize the flaw without any image conversion to shorten the recognition time. The recognition problem to find flaws and detect its position on the metal parts is converted here to another problem to search for the maximum peak and the variables giving the peak. Then the recognition problem can be treated as optimization problem, and this conversion allow us to utilize the high performances of GA in the optimization. The effectivenesses and problems of proposed method are studied on standing points of the recognition speed and the quantitative recognition ability. Based on the analysis, we furthermore improved our system to increase the detecion rate of the flaws, that is, the lignting direction is changed to find the best lighting condition that can emphasize the contrast between the metal surface and the bruise by using the reflection character of the hairline on the metal resulted by polishing process.
AB - In this research, a method to detect minute flaws on metal parts is proposed to remove the defective parts before assembling in a factory. The input gray-scale images of metal parts are used directly to recognize the flaw without any image conversion to shorten the recognition time. The recognition problem to find flaws and detect its position on the metal parts is converted here to another problem to search for the maximum peak and the variables giving the peak. Then the recognition problem can be treated as optimization problem, and this conversion allow us to utilize the high performances of GA in the optimization. The effectivenesses and problems of proposed method are studied on standing points of the recognition speed and the quantitative recognition ability. Based on the analysis, we furthermore improved our system to increase the detecion rate of the flaws, that is, the lignting direction is changed to find the best lighting condition that can emphasize the contrast between the metal surface and the bruise by using the reflection character of the hairline on the metal resulted by polishing process.
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UR - http://www.scopus.com/inward/citedby.url?scp=20544450196&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:20544450196
VL - 2
SP - 1240
EP - 1245
BT - IECON Proceedings (Industrial Electronics Conference)
ER -