一种快速的角点检测算法,剑桥的代码.据说可以达到实时处理....

在MATLAB环境下，以上代码通过编译。P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理-In the MATLAB environment, the above code through the compiler. P0311: the use of Butterworth (Butterworth) low pass filter on the image noise by smoothing treatment P0312: the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment

基于viual c++ 2005和OpenCV环境 TestOpenCV是一个应用OpenCV提供的函数进行图片显示和保存的应用程序，注意TestOpenCV需要OpenCV提供的库支持，因此请首先到相关网站上下载并安装OpenCV-Based on viual c++ 2005 and OpenCV is an application environment TestOpenCV provided OpenCV function picture display and preservation of the application, pay attention to the needs of TestOpenCV provided OpenCV library support, so please first of all to the relevant Web site to download and install the OpenCV

一本不错的数字图像处理书（冈萨雷斯中文版）-A good digital image processing book (Gonzalez Chinese Version)

这是开源的全景图拼接软件Hugin的源代码，从svn下下来的，revision是3478。-This is the open source Hugin panorama stitching software source code from svn down under, revision is 3478.

人脸识别中特征提取matlab源码，LDA，-Face Recognition feature extraction Matlab source, LDA.

基于阀值的阈值分割：由灰度直方图可以看出谷值即是阀值，然后分割出来目标图像。-Based on the threshold of the threshold segmentation: histogram can be seen from the valley that is, threshold, and then divided by the target image.

VC开发环境下编写的数字图像处理应用程序，适合初学vb图像处理人进行学习，有一定得学习价值-VC prepared the development environment the application of digital image processing, image vb for beginners to learn to deal with people, it must learn the value of

黑白图像处理，早上刚刚作的，有很多黑白图像处理方法。希望大家喜欢-black-and-white image processing, just for the morning, a lot of black-and-white image processing methods. Hope you like

图像处理中常用的标准灰度图像（bmp格式），包括baboon,boat,lena,peppers等-Standard gray image-it commonly used in image processing (bmp format), including the baboon, boat, lena, peppers, etc.

这个程序的功能实现了，将一幅彩色图像先变为灰度图像，然后在统计它的直方图，接着给变换后的图像输入目标，做剪影，最终把剪影后的结果输出-Function realization of this program, and will be a color image into a grayscale image first, and then its histogram statistics, and then after the image input to the transformation goals, to do silhouette, the final result after the output of the silhouette