Autor: |
Gao, Jun, Ye, Xin, Zhang, Zhi Jing, Tang, Yong Long, Jin, Xin |
Zdroj: |
Applied Mechanics and Materials; June 2013, Vol. 325 Issue: 1 p1271-1275, 5p |
Abstrakt: |
This paper proposes a vision detection algorithm to acquire LIGA part’s edges based on an in-house multi-DOF manipulator for LIGA part assembly. Feature recognition based on maximum information entropy is proposed to solve the problem that high precision edge recognition under backlight source. In order to further improve vision recognition accuracy, edge feature recognition algorithm based on symmetrical edge is proposed to recognize the center line of the symmetrical parts when the quality of the image is poor. |
Databáze: |
Supplemental Index |
Externí odkaz: |
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