近红外显微图像的主成分法图像处理

The application of principle component analysis(PCA)to near infrared microscopy imaging process

介绍主成分分析算法在近红外显微图像分析中的应用,用该方法成功地提取出样品成分相关特征信息,并通过不同主成分的得分图像来描述样品的显微结构特征和特定化学成分分布。

This article introduces principle component analysis （PCA） arithmetic used in near infrared microscopy imaging technique for information extracting. The chemical component information can be extracted by this method from chicken breast muscle sample. The score images of different principle components are obtained and show the microstructure and protein distribution of the sample.