主元分析 (Principal Component Analysis, PCA) 又叫：Karhunen-Loeve变换 (KLT)、Hotelling变换。 假设已经从图象已经缩放为N*M大小。 m幅N*M大小的图象Xi作为n*1列向量看待-PCA (Principal Component Analysis, PCA) also known as: Karhunen-Loeve Transform (KLT), Hotelling transform.

hotelling transformation has been written with help of Matlab 2007a. This technology has been applied to transform images. A test image has been included in the file for explanation. It accpets 256 color map bmp image as input and produces the outp