@inproceedings{31cfa5fc6b10434d9e41c3dbcf432d04,
title = "A vision detection algorithm for LIGA part assembly",
abstract = "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.",
keywords = "Assembly, LIGA, Meso-scale, Vision system",
author = "Gao Jun and Ye Xin and Jing, \{Zhang Zhi\} and Long, \{Tang Yong\} and Xin Jin",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.325-326.1271",
language = "English",
isbn = "9783037857175",
series = "Applied Mechanics and Materials",
pages = "1271--1275",
booktitle = "Advanced Research on Materials, Applied Mechanics and Design Science",
note = "2nd International Conference on Intelligent Materials, Applied Mechanics and Design Science, IMAMD 2013 ; Conference date: 13-04-2013 Through 14-04-2013",
}