Open Access
Issue |
MATEC Web of Conferences
Volume 34, 2015
2015 2nd International Conference on Mechatronics and Mechanical Engineering (ICMME 2015)
|
|
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Article Number | 04002 | |
Number of page(s) | 6 | |
Section | Control theory and technology | |
DOI | https://doi.org/10.1051/matecconf/20153404002 | |
Published online | 11 December 2015 |
- B. Li, L. W. and WU Tao: Automatic detect and match of LED dies basing on position. Processings of the Ninth International Conference on Machine Learning and Cybernetics, Qindao (2010). [Google Scholar]
- X. Xu, P. van Beek and X. Feng: High-speed object matching and localization using gradient orientation features. Proc. SPIE 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques, 902507 (2014). [Google Scholar]
- H. –J. Cho: wavelet transform based image template matching for automatic component inspection. International journal of advanced manufacturing technology 50:1033–1039 (2010). [CrossRef] [Google Scholar]
- J. Crispin, V. Rankov: Automated inspection of PCB component using a genetic algorithm template-matching approach. International journal of advanced manufacturing technology 35:293–300 (2007). [CrossRef] [Google Scholar]
- Q. Li and B. Zhang: A fast matching algorithm based on image gray value. Journal of software, vol. 17, p. 216–222 (2010). [CrossRef] [Google Scholar]
- N. Ayache and O. D. Faugeras: A new approach for the recognition and positioning of two-dimensional objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 44–54 (1986). [CrossRef] [Google Scholar]
- W. E. L. Grimson and T. Lozano-Perez: Localizing overlapping parts by searching the interpretation tree. IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 469–482(1987). [CrossRef] [Google Scholar]
- M. W. Koch and R. L. Kashyap: Using polygons to recognize and locate partially occluded objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 483–494(1987). [CrossRef] [Google Scholar]
- J. A. Ventura and W. Wan: Accurate matching of two-dimensional shapes using the minimal tolerance zone error. Image and vision computing, vol. 15, p. 889–899(1997). [CrossRef] [Google Scholar]
- D. Marimon and T. Ebrahimi: Efficient rotation-discriminative template matching. Progress in Pattern Recognition, Image Analysis and Applications, vol. 4756, p. 221–230 (2007). [CrossRef] [Google Scholar]
- F. Ullah and S. Kaneko: Using orientation codes for rotation-invariant template matching. Pattern recognition, vol. 37, p. 201–209 (2007). [CrossRef] [Google Scholar]
- Anbu, G. Agarwal and G. Srivastava: A fast object detection algorithm using motion-based region-of-interest determination. 14th International Conference on Digital Signal Processing, vol. 2, p. 1105–1108(2002). [Google Scholar]
- P. E. Forssen and A. Moe: View matching with blob features. The 2nd Canadian Conference on Computer and Robot Vision, p. 228–235(2005). [Google Scholar]
- S. Goel and S. Dabas: Vehicle registration plate recognition system using template matching. 2013 International Conference on in Signal Processing and Communication (ICSC), p. 315–318(2013). [Google Scholar]
- N. Otsu: A threshold selection method from gray-level histograms. IEEE transactions on Systems Man and Cybernetics, vol. 11, p. 23–27(1975). [Google Scholar]
- L. Di Stefano, S. Mattoccia and M. Mola: An efficient algorithm for exhaustive template matching based on normalized cross correlation. 12th International Conference on Image Analysis and Processing, p. 322–327 (2003). [Google Scholar]
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