图像恢复的几个程序，旋转恢复是用vc写的，其余是matlab的，这几个程序比较挑图像，如果一幅效果不好，换一个做，图像恢复程序大都这样。...

Opencv 读取 图像 显示在 对话框！-Opencv read the image displayed in the dialog box!

mathmatic 5 编的程序--可以物质的孔隙率和连通性-mathmatic 5 of the procedure can be made of material porosity and connectivity

一共是五个.c++环境下opencv程序-a total of five. C environment opencv procedures

基于图像的灰度共生矩阵方法的图像纹理分割-Gray-level image-based methods of co-occurrence matrix image texture segmentation

face recognition source code

matlab图象应用广泛于图象增强,其中的Retinex图象增强也越来越受到重视,对于彩色图象的处理效果很明显。-Matlab image widely used in image enhancement, The Retinex Image Enhancement also growing in importance for color image effect is obvious.

是一个颜色空间转换的MATLAB程序，一共有两个程序一个从RGB到YCRCB，一个是从YCRCB到RGB的程序。-Is a color space conversion of the MATLAB program, a total of two procedures from RGB to YCRCB, one is from YCrCb to RGB procedures.

运用contourlet变换和小波变换对图像进行去噪处理,并将二者的去噪效果通过PSNR进行对比.文中包含去噪.m文件和求PSNR的.m文件.程序中注释详细,值得参考.通过测试的代码.-Use Contourlet transform and wavelet transform for image denoising treatment, and the denoising effect of the adoption of both PSNR comparison. Paper contains denoising. M documents and PSNR for the. M file. Program notes in detail, it is also useful. Through test code.

国外著名大学成功的人脸检测示例中的一部分！一共5个压缩包。包含多种环境下的代码！ 1、mpisearch.rar,2047KB,国外著名大学成功的人脸检测示例中一部分！包含多种环境下的代码 2. eyefinder.rar,757KB,国外著名大学成功的人脸检测示例中的人眼检测！包含多种环境下的代码 3. colortracker.rar,99KB,国外著名大学成功的人脸检测示例中的颜色跟踪！包含多种环境下的代码 4. blinkDetector.rar -famous University of face detection part of the sample! A total of five compressed. Covering a wide variety of circumstances code! 1, mpisearch.rar, 2047KB. famous University of face detection illustration part! Includes a variety of environments under the code 2. Eyefinder.rar, 757KB, famous University of face detection example of the human eye inspection! Covering a wide variety of circumstances code 3. Colortracker.rar, 99KB. famous University of face detection examples of color tracking! Covering a wide variety of circumstances code 4. BlinkDetector.rar

Program to segmentation picture. To choose are two method, first statistic method, second with using a histogram.