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基于新颜色合成的 RGB 值漫反射光谱的 Wiener 估计修正用于组织测量。

Modified Wiener estimation of diffuse reflectance spectra from RGB values by the synthesis of new colors for tissue measurements.

出版信息

J Biomed Opt. 2012 Mar;17(3):030501. doi: 10.1117/1.JBO.17.3.030501.

DOI:10.1117/1.JBO.17.3.030501
PMID:22502552
Abstract

We present a new method for the accurate estimation of diffuse reflectance spectra from RGB values based on Wiener estimation. In the proposed method, a system matrix obtained from the original RGB values is combined with a set of synthetic optical filters to generate another three values corresponding to new colors. A modified Wiener matrix can then be created with the original RGB values and the new color values, which will yield a more accurate estimation because of the new color information that has been incorporated. This method was tested on in vivo color measurements from 200 skin sites in 10 volunteers. The results show that the proposed method is able to improve the estimation accuracy significantly compared with the traditional Wiener estimation method. The fast speed of this method may enable the estimation of diffuse reflectance spectra at multiple tissue locations from color images in real time, which provides a cost-effective alternative to spectral imaging with the additional advantage of high spectral resolution.

摘要

我们提出了一种新的方法,基于维纳估计,从 RGB 值准确估计漫反射光谱。在提出的方法中,基于原始 RGB 值的系统矩阵与一组合成光学滤波器相结合,生成与新颜色对应的另外三个值。然后可以使用原始 RGB 值和新颜色值创建修改后的维纳矩阵,由于包含了新的颜色信息,因此可以进行更准确的估计。该方法在 10 名志愿者的 200 个皮肤部位的体内颜色测量中进行了测试。结果表明,与传统的维纳估计方法相比,所提出的方法能够显著提高估计精度。该方法的快速速度可能使从彩色图像实时估计多个组织位置的漫反射光谱成为可能,这为具有高光谱分辨率的光谱成像提供了一种具有成本效益的替代方案。

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