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Reconstruction of Spectral Transmission of Colored Solutions Using a Conventional Digital Camera

机译:使用常规数码相机重建有色溶液的光谱传输

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摘要

In this study, the red-green-blue (RGB) color values of colored solutions captured from a digital camera are employed for reconstruction of spectral transmission of the transparent solutions. A capturing box is assembled and a spectral data set gathered from colored solutions prepared for this purpose. Principal component analysis (PCA), pseudoinverse, and matrix R methods are employed to reconstruct the spectral transmission of clear solutions from their RGB data. Two different illuminants are employed to achieve two sets of RGB data. According to the results, the PCA method led to inadequate accuracy when a set of RGB data and three eigenvectors are used, while results are improved by using first six basis functions. On the other hand, pseudoinverse leads to the worse results in comparison with PCA by using the first six basis functions. However, the results obtained from matrix R method shows considerable improvement in terms of the root mean square error between the actual and reconstructed spectral transmission curves. In fact, matrix R method diminishes the spectral errors in the two ends of spectrum in relation to other methods.
机译:在这项研究中,从数码相机捕获的有色溶液的红-绿-蓝(RGB)颜色值用于重建透明溶液的光谱传输。组装一个捕获盒,并从为此准备的有色溶液中收集光谱数据集。主成分分析(PCA),伪逆和矩阵R方法用于从其RGB数据重建清晰溶液的光谱传输。采用两种不同的光源来获得两组RGB数据。根据结果​​,当使用一组RGB数据和三个特征向量时,PCA方法导致精度不足,而通过使用前六个基函数来改善结果。另一方面,与使用前六个基函数的PCA相比,伪逆导致较差的结果。但是,从矩阵R方法获得的结果显示出在实际光谱透射曲线与重建光谱透射曲线之间的均方根误差方面有相当大的改进。实际上,与其他方法相比,矩阵R方法可减少光谱两端的光谱误差。

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  • 来源
    《Journal of Imaging Science and Technology》 |2010年第1期|p.010508.1-010508.8|共8页
  • 作者单位

    Department of Textile Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15914, Iran;

    Department of Textile Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15914, Iran;

    Department of Textile Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15914, Iran;

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