在本文中，人脸图像

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.

一个简单的半透明动画程序。在背景图片上进行像素提取混合，形成半透明效果-a simple translucent animation process. The background image pixels on the extraction of mixed form translucent effect

此程序是基于共线方程的前方交会，适用于遥感，近景摄影测量，测绘类专业的多片前方交会处理，和网上流行的点系数法前方交会有所不同-This procedure is based on the total equation of forward intersection, applicable to remote sensing, close-range photogrammetry, Mapping Specialty front of the intersection of multi-chip processing, and online popular spots coefficient method is different from the front intersection

图像处理 图像rgb空间转换为His空间-Image Processing Image rgb space conversion for His Space

该函数实现的是Lucas Kanade的光流运动估计算法-it implements the optical flow method of Lucas Kanade

在matlab上实现一种经高斯平滑的边缘检测算法-In matlab by Gaussian to achieve a smooth edge detection algorithm

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

simplified approach to image processing

小波算法实现，代码不多，不过对理解小波还是很有帮助的。-Wavelet algorithm, code much, but the understanding of wavelet still very useful.

非常有名的SIFT变换程序，实现了多级变换检测！-A very well-known SIFT conversion process to achieve a multi-stage transformation test!