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A method for selecting training samples based on camera response_上海光学精密机械研究所

上海光学精密机械研究所 免费考研网/2018-05-06

外文题目: A method for selecting training samples based on camera response
作者: Zhang, Leihong; Li, Bei; Pan, Zilan; Liang, Dong; Kang, Yi; Zhang, Dawei; Ma, Xiuhua
刊名: Laser Phys. Lett.
年: 2016 卷: 13 期: 9 文章编号:95201
英文关键词:
sample selection; spectral reflectance reconstruction; response value
SPECTRAL REFLECTANCE RECONSTRUCTION; NARROW-BAND MEASUREMENTS; WIENER ESTIMATION; RAMAN-SPECTRA; IMAGE
英文摘要:
In the process of spectral reflectance reconstruction, sample selection plays an important role in the accuracy of the constructed model and in reconstruction effects. In this paper, a method for training sample selection based on camera response is proposed. It has been proved that the camera response value has a close correlation with the spectral reflectance. Consequently, in this paper we adopt the technique of drawing a sphere in camera response value space to select the training samples which have a higher correlation with the test samples. In addition, the Wiener estimation method is used to reconstruct the spectral reflectance. Finally, we find that the method of sample selection based on camera response value has the smallest color difference and root mean square error after reconstruction compared to the method using the full set of Munsell color charts, the Mohammadi training sample selection method, and the stratified sampling method. Moreover, the goodness of fit coefficient of this method is also the highest among the four sample selection methods. Taking all the factors mentioned above into consideration, the method of training sample selection based on camera response value enhances the reconstruction accuracy from both the colorimetric and spectral perspectives.


文献类型: 期刊论文
正文语种: English
收录类别: SCI
DOI: 10.1088/1612-2011/13/9/095201


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