采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是高斯平滑...

detect corners of a image and hough transform-corner detection and hough transform

基于神经网络的人脸识别训练函数，非常有用，研究生优秀作品-Face recognition based on neural network training function, very useful, graduate outstanding works

图形图像处理之哈夫曼算法完整（VC编译OK）-Graphics Image Processing of Huffman algorithm complete (VC compiler OK)

无意中下载的一个源码程序，是关于人脸检测方面的，自己用不着，看大家是否有用的着的分享一下-Inadvertently download a source process, are about aspects of the Human Face Detection, their need to see the usefulness of the U.S. share of

首先介绍模糊集基本知识 其次K均值聚类算法(HCM)介绍 最后重点介绍了模糊C均值聚类， 模糊聚类是一种很重要思想，最近再图像处理中就用的了这种思想，也算是一点思维创新-First of all, introduce basic knowledge of fuzzy sets was followed by K-means clustering algorithm (HCM) focuses on the introduction Finally fuzzy C-means clustering, fuzzy clustering is a very important thinking, recently re-image processing on the use of such thinking, but also Innovative thinking is that

inds minimum risk soft threshold for noise-free coefficients

此代码是关于查找图象中的粒子数目，可以运行，仅供参考-this code is on the search for the particle image number, you can run, for information purposes only

在计算机视觉中首先一步是计算每个摄像机的参数(外参和内参)，这是重建物体所必须的，这一个过程称为摄像机定标(camera calibration)。这是我自己写的一个简单的采用3维模板(模板是由黑白相间的格子组成，格子大小30cm×30cm，模板必须是三维，否则矩阵奇异)定标的程序，交互性比较好，每个角点通过鼠标点击自动获取。-Computer Vision in the first step is to calculate the parameters of each camera (outside the Senate and internal), which is necessary for the reconstruction of objects, which a process known as camera calibration (camera calibration). This is what I wrote it myself using a simple 3-dimensional template (template is composed of black-and-white lattice, lattice size of 30cm ?30cm, the template must be three-dimensional, or matrix singular) calibration procedures, better interactivity, each Corner automatic access through mouse clicks.

This code implements the well-known Chan-Vese segmentation algorithm from the paper "Active Contours Without Edges." This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions. The technique is very robust to initialization and gives very nice results when there is a difference between the foreground and background means. This code uses active contours and level sets in the implementation. It could also serve as a good framework for implementing all kinds of region-based active contour energies. 1.) Download 2.) Unzip 3.) Run >>region_seg_demo See this site for experiments, videos, and more information on segmentation, active contours, and level sets: [ http://www.shawnlankton.com/2007/05/active-contours/ ]

Visual c++ MATLAB图像处理与识别 书盘源码上传0000000004－－第4章-Visual c MATLAB image processing and recognition site source book Upload 0000000004-- Chapter 4