Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

SIFT-MIC Based Matching Location Algorithm for Wire Bonding

Authors
Kong Fanzhi, Xiao Xiao
Corresponding Author
Kong Fanzhi
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.165How to use a DOI?
Keywords
Wire bonding • SIFT• MIC • Vector angle method
Abstract
Computer vision inspection system is often applied in automatic wire bonding to ensure the location accuracy and speed, while feature selection affects the performance of inspection system. In this paper, a new feature extraction and matching location algorithm based on SIFT-MIC is proposed for wire bonding. The algorithm chooses MIC corners in the neighborhood of SIFT feature points to increase the robustness of feature extraction. Meanwhile, the selection of SIFT-MIC feature points is before the generation of SIFT descriptors, to reduce the computation and improve the efficiency of feature extraction. The vector angle method is chosen to finish the matching location of the eye-point images and images to be matched. Experimental results show that SIFT-MIC algorithm is invariant to translation and rotation, and has high performance in the positioning accuracy and detection efficiency. The proposed algorithm is suitable for MEMS wire bonding images with rich points and lines features.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.165How 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  - Kong Fanzhi
AU  - Xiao Xiao
PY  - 2013/11
DA  - 2013/11
TI  - SIFT-MIC Based Matching Location Algorithm for Wire Bonding
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.165
DO  - https://doi.org/10.2991/icmt-13.2013.165
ID  - Fanzhi2013/11
ER  -