基于电荷耦合器件成像的图像背景估计对薄层色谱进行定量评估。
Quantitative evaluation of thin-layer chromatography with image background estimation based on charge-coupled device imaging.
作者信息
Zhang Li, Lin Xinggang
机构信息
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
出版信息
J Chromatogr A. 2006 Mar 24;1109(2):273-8. doi: 10.1016/j.chroma.2006.01.018. Epub 2006 Feb 21.
The main limitation of image processing based on charge-coupled device (CCD) imaging in quantitative evaluation of thin-layer chromatography (TLC) is its nonuniform illumination. This paper presents a novel method to solve the problem. First, the background is estimated by employing the cubic spline surface construction. Then the estimated background is subtracted from the original image to make the image segmentation; Finally, the gray level integration for each object is calculated, which is proportional to the value of samples. Experiment shows that the linear correlation coefficient between gray integration and concentration of samples is 0.9978.
基于电荷耦合器件（CCD）成像的图像处理技术在薄层色谱法（TLC）定量评估中的主要局限在于其光照不均匀。本文提出了一种解决该问题的新方法。首先，通过采用三次样条曲面构建来估计背景。然后从原始图像中减去估计出的背景以进行图像分割；最后，计算每个物体的灰度积分，其与样品的值成正比。实验表明，灰度积分与样品浓度之间的线性相关系数为0.9978。
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