用MATLAB进行图形样板匹配的源程序，（开发平台MATLAB7.0）

:在同一受试者,针刺不同穴位可引起相同部位脑功能区激活,不同人针刺相同穴位激活的脑功能区有一定差异,针刺效 果可能并非通过单一脑功能区,而是通过有功能联系的多个脑功能区所形成的一个复杂的流动性网络的相互作用而实现的。-: In the same subjects, acupuncture points can cause the same parts in different functional areas of brain activation, different people the same acupuncture points to activate certain areas of brain function differences in effects of acupuncture may not be through a single brain functional areas, but rather through a functional linkages of multiple brain functional area formed by a complex interplay of mobile network implementation.

用C语言开发的图像的维纳滤波处理，算法经典-C language development with the image of the Wiener filter processing, the algorithm Classic

Line detection in gray scale using hough transform-Line detection in gray scale using hough tr ansform

很好用的边缘检测程序:) ED-256 is an edge detection program with support for any bitmap. As of 2.1, the program allows both edge detection and prototype classification on the images.-good use of edge detection procedures :) ED-256 is an edge detection program with support for any bitmap. As of 2.1, the program allows both prototype edge detection and classification on the images.

做网站是需要处理大量图片，就自己写了个图片批处理程序。用于将图片处理成指定大小和生成缩略图。-Do web site is to deal with a large number of pictures, pictures on his own wrote a batch program. Used to image processing to the specified size and generates thumbnails.

很好的进行了图像轮廓和边界的分析 ，绝对正确。-Very good for the image contours and boundaries of the analysis, absolutely correct.

《数字图像处理编程入门》，非常容易上手，文字后有现成的通过运行的程序，是清华一位博士写的-Introduction to digital image processing program, very easy, after the language has ready-made by running the procedure, a doctor is written by Tsinghua

这是我的 图象细化程序,在C++builder 环境下运行-This is my thinning procedure, the C builder operating environment

模式识别的特征识别可有多种方法，同时每种方法都有着一定的局限性，这里给出一种比较通用的方法来进行识别-Pattern Recognition feature recognition can have a number of ways, while each method has certain limitations, here given a more general approach to identify the

一些关于视频图像处理中有关背景建模的论文（文件1）-On video image processing in the background modeling papers (paper 1)