边沿检测与提取，轮廓跟踪的图象算法 对着两种算法有着详细解释...

对输入图像进行圆形hough变换。并显示其大小。-hough transform to the input image. energy level will be display

视频图像直线实时提取与检测算法 VC++开发-Straight-line real-time video image extraction and detection algorithm VC++ Development

数字图象处理中常遇见的图象融合相关源代码-Digital image processing of image fusion is often met the relevant source code

很实用的彩色图像增强程序 基于HSV彩色空间变换-Very practical color image enhancement procedures Based on HSV color space conversion

实现了地形图像等的四叉树分层，根据图像的梯度和稠密分布进行分层处理。-Realized images of the terrain quadtree hierarchical, according to the image gradient and the dense distribution of slicing.

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.

霍夫变换的 m文件 ，希望那个可以供大家是使用。-Hough transform of the m file, in the hope that can be for everyone is to use.

图像模式识别技术中的分类程序源代码，很适合初学者使用-AppWizard has created this DSPLIT application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your DSPLIT application.

数字图象处理编程入门.chm-Introduction to Digital Image Processing Programming. Chm

Matlab图像感兴趣区域编码，这个程序所包括的m代码实现了迭代的图像处理，找出感兴趣区域。并同时输出区域、均值、STD、最小值、最大值、中值、中心点等等。-Matlab region of interest image coding, this procedure covered by the code m realize the iterative image processing, to identify areas of interest. And at the same time the output region, the mean, STD, minimum, maximum, median, center and so on.