摘要
薄层色谱法(Thin-Layer Chromatography,简称TLC)也叫薄层层析法。是微量样品快速分离和定量分析的重要方法,利用计算机图像处理技术对TLC图像进行分析和处理,能够消除影响TLC图像质量的背景、噪声、变形等因素,提高TLC图像的清晰度,进而为原油组成成分的定量分析提供保障。原油样品的薄层色谱图像预处理是定量计算的前提。本文主要讨论了图像中的通道选择和背景扣除,利用VC和Matlab混合编程实现其过程,对改善图像的质量起到了重要的作用。
Thin-Layer Chromatography is an important method on micro-sample separation and quantitative analysis, the technology of image processing used in TLC image could clear the factors such as background, noise and deformation and so on to ensure the next quantitative analysis. It is mainly discussed the channels option and background cut by VC and Matlab to realize the process. It is crucial for the TLC image to become better.
出处
《价值工程》
2013年第13期209-210,共2页
Value Engineering
基金
黑龙江省教育厅科学技术研究项目(12513077)
关键词
薄层色谱
图像处理
定量分析
Thin layer chromatograph
image processing
quantitative analysis
