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- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.1
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- 1 - 5 (5page)
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In recent years, worldwide production of solar wafers increased rapidly. Therefore, the solar wafer technology in the developed countries already has become an industry, and related industries such as solar wafer manufacturing equipment have developed rapidly. In this paper we propose the color classification method of the polycrystalline solar wafer that needed in manufacturing equipment. The solar wafer produced in the manufacturing process does not have a uniform color. Therefore, the solar wafer panels made with insensitive color uniformity will fall off the aesthetics. Gaussian mixture models (GMM) are among the most statistically mature methods for clustering and we use the Gaussian mixture models for the classification of the polycrystalline solar wafers. In addition, we compare the performance of the color feature vector from various color space for color classification. Experimental results show that the feature vector from YCbCr color space has the most efficient performance and the correct classification rate is 97.4%.
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참고문헌 (5)
참고문헌 신청
D.M. Tsai / 2010 / Micro-crack inspection in heterogeneously textured solar wafers using anisotropic diffusion / Image and Vision Computing 28:491~501
M.W. Schwarz / 1987 / An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models / ACM Transactions on Graphics 6:123~158
D.A. Reynolds / 2002 / Robust text-independent speaker identification using Gaussian mixture speaker models / Speech and Audio Processing, IEEE Transactions on 3:72~83
A.P. Dempster / 1977 / Maximum likelihood from incomplete data via the EM algorithm / Journal of the Royal Statistical Society 39:1~38
J. A. Hartigan / 1979 / A k-means clustering algorithm / JR Stat. Soc., Ser. C 28:100~108
M.W. Schwarz / 1987 / An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models / ACM Transactions on Graphics 6:123~158
D.A. Reynolds / 2002 / Robust text-independent speaker identification using Gaussian mixture speaker models / Speech and Audio Processing, IEEE Transactions on 3:72~83
A.P. Dempster / 1977 / Maximum likelihood from incomplete data via the EM algorithm / Journal of the Royal Statistical Society 39:1~38
J. A. Hartigan / 1979 / A k-means clustering algorithm / JR Stat. Soc., Ser. C 28:100~108
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