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Tạp chí khoa học ĐHCT
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Bài báo - Tạp chí
Vol. 6, No. 1 (2016) Trang: 1-8
Tạp chí: International Journal of Bioscience, Biochemistry and Bioinformatics

Facial paralysis is a common clinical condition occurring in 30 to 40 patients per 100,000 people per year in Japan. A quantitative tool to support medical diagnostics is necessary. This paper presents a technique that we combined Gabor filters and wavelet decomposition to develop this tool. In our work, the Gabor filters and the wavelet decomposition are used as preprocessing steps to extract the feature. These features are used as the inputs of a multi-class support vector machines for quantitative evaluation of facial paralysis. Our method overcomes the drawbacks of the other techniques such as noisy removal and against variation of illumination. Experimental results show that our proposed method outperforms other conventional techniques testing on a dynamic facial expression image database.

Các bài báo khác
Proceedings (2015) Trang: 648-651
Tạp chí: International Conference on Computer Information Systems and Industrial Applications
Proceedings (2015) Trang: 100-105
Tạp chí: International Conference on Computing & Communication Technologies Research, Innovation, and Vision for Future (RIVF)
Proceedings (2015) Trang: 1758-1763
Tạp chí: International Conference on Fuzzy Systems and Knowledge Discovery
Proceedings (2014) Trang: 79-84
Tạp chí: IEICE-Technical Report
Proceedings (2014) Trang: 155-161
Tạp chí: The Fifth Symposium on Information and Communication Technology
Proceedings-2016 (2016) Trang: 344-349
Tạp chí: IEEE- International Conference on Pattern Recognition (ICPR)
Proceedings (2016) Trang: 769-774
Tạp chí: The 31st International Congress on High Speed Imaging and Photonics
Proceedings-2106 (2016) Trang: 1319-1323
Tạp chí: IEEE- International Conference on Image Processing (ICIP)
E99-d, No. 1 (2016) Trang: 187-196
Tạp chí: IEICE-Transactions on Information and Systems
 


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