一个可以检测人脸的系统，大家下载看看，相互交流交流，呵呵。

本人收集的东西，不用Vb了，丢掉怪可惜的 分形算法与程序设计VB版 一书中所讲解的程序设计的源代码及部分供参考的效果图。-I collect things that do not have Vb, and unfortunately lost the strange fractal algorithm and program design VB version of one book on programming source code and some of the effects of plans for reference.

用Matlab实现的多种基于阈值的图像分割方法，含有大津法，最大熵，聚类等方法-Using Matlab to achieve a variety of threshold-based image segmentation method, which contains Otsu method, maximum entropy, clustering and other methods

normalziedcut经典聚类算法matlab源码演示-normalziedcut classical clustering algorithm matlab source demo

通过此算法选取出来的阈值非常理想，对各种情况的表现都较为良好。虽然它在很多情况下都不是最佳的分割，但分割质量通常都有一定的保障，可以说是最稳定的分割。由上可知，大津算法是一种较为通用的分割算法。-Through this algorithm to select the threshold by the very satisfactory performance of the various situations are relatively good. Although in many cases it is not the best partition, but the quality of segmentation is usually a certain degree of protection, it can be said is the most stable partition. From the above we can see that Otsu algorithm is a segmentation algorithm is more generic.

Description: Functions for aligning images by rotation and translation: image_registr_MI.m MI2 - calculating Mutual information joint_h - calculating Joint histogram -Description: Functions for aligning images by rotation and translation: image_registr_MI.m MI2- calculating Mutual information joint_h- calculating Joint histogram

本程序是对图象进行均衡化处理源程序主要用来参考学习-this program is to facilitate a balanced image processing for the main reference source study

数字图像处理的电子教程，不是影印版的，效果不错，希望能有帮助-Digital image processing, electronic tutorials, not a photocopy version of, well, hope to have help

能够对bitmap图片进行无级缩放的动态库源代码-able to bitmap picture without the dynamic zoom level for the source code

robustly fits a homography to a set of putatively matched image points-robustly fits a homography to a set of putat ively matched image points

能进行8*8的快速DCT变换并反变换，显示变换前和变换后的图象。可自由选择保留几个DCT变换后的系数-Can be 8* 8 Fast DCT transform and inverse transform, showing transformation before and after the image transformation. Be free to choose to retain a few DCT transformed coefficients