该程序是进行图像压缩的spiht算法，具体的函数见里面的content.m文件，比较详细...

神经网路分割 神经网路分割 神经网路分割-neural network segmentation ne ural network segmentation ne ural network segmentation neural network segmentation Neural network segmentation

在内存中位图的对称位图(镜像)(8KB)。此程序是老外写的经典程序，可以拜读一下。-in memory bitmap symmetric Bitmap (mirrored) (8KB). This procedure is a foreigner to write the classic procedure could read about.

基于轮廓的形状特征提取 1)该程序在VC＋＋6.0下编译通过； 2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定） 64×64 24bit BMP： 图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别； 120×120 24bit BMP： 图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别； 3)结果说明： MCS.dat保存了Mountain Climbing Sequence。 -Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.

基于VC++，MFC界面，载入背景图片和检测图片，可以检测出运动物体和运动轨迹，可以收到操作滤波，除噪，匹配等功能-Based on VC++, MFC interface, load background images and testing images, can detect moving objects and motion trajectory, you can receive the operation of filtering, in addition to noise, matching and other functions

基于Harry函数的人脸识别源程序――Facedetection-Harry function based on face recognition source code- Facedetection

矢量图的绘制，可对矢量图进行操作；并可对矢量图进行管理。-vector mapping, can operate on vector map; Vector Graphics able to manage.

程序为实现RANSAC算法，通过阅读该程序后，对学习RANSAC非常有帮助.-Procedures for the realization of RANSAC algorithm, by reading the program after learning RANSAC very helpful.

快速角点检测算法，不计算倒数，因此速度比传统方法快！-Fast corner detection algorithm, not counting the last, so the speed faster than traditional methods!

TI DSP DM642程序,求直方图,并进行直方图均衡-TI DSP DM642 procedure for histogram and histogram equalization

对图像分块,计算每个块的均值和方差,并给出了结果的图象化表示,易于观察-Image sub-blocks, each block calculated the mean and variance, and gives the results of the image that is easy to observe