التفاصيل البيبلوغرافية
| العنوان: |
Robust and accurate pattern matching in fuzzy space for fiducial mark alignment. |
| المؤلفون: |
Cui, Xuenan, Kim, Hakil, Park, Eunsoo, Choi, Hyohoon |
| المصدر: |
Machine Vision & Applications; Apr2013, Vol. 24 Issue 3, p447-459, 13p, 3 Color Photographs, 6 Black and White Photographs, 1 Diagram, 7 Charts, 12 Graphs |
| مصطلحات موضوعية: |
FIDUCIAL markers (Imaging systems), FUZZY measure theory, EXPERIMENTS, ALGORITHMS, STATISTICAL correlation |
| مستخلص: |
This paper presents a new pattern matching method for fiducial mark alignment in a fuzzy space. The membership functions of fuzzy sets are designed by distance transforms, and their levels are set in the fuzzy space for fast matching of a specific fiducial mark. After the fuzzification, a sub-pixel level translation is estimated by a fuzzy similarity measure and an interpolation using fuzzified model and target images. This paper also proposes a method of coarse-to-fine rotation estimation in sub-pixel level. Experiments show that the proposed fuzzy space pattern matching algorithm outperforms commercial pattern matching algorithms based on correlation or edge. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
