cximage600_lite.rar CxImage类库是一个优秀的图像操作类库。它可以快捷地存取、显示、转换各种图像。...

用Canny算子进行边缘检测 的 函数 文件，大家可以尝试的用用，都是基于matlab平台的。-Canny operator for edge detection function documents, we can try to use use are based on Matlab platform.

bandelet 去噪，包含blsgsm和平移不变去噪，不过对大图像需要的内存比较大-bandelet denoising, including blsgsm and translation invariant denoising, but for large images need more memory

基于马尔可夫随机场的图像恢复，给出产生MRF的程序并应用于图像去噪-GMRF based on the image restoration, MRF is generated and applied to the procedures Image Denoising

基础线性分类器的检测用于分离超平面是单向垂直的。- TESTING THRESHOLD CLASSIFIER

The effects of the delays due to signal multiplexing and processing is to add a phase shift to the response. To have a stable noiseless loop, the additional phase shift at the cut off frequency of the loop must be negligible (say maximum of 200). Which means that signal multiplexing and processing rate must be at least 1KHz for a 50 Hz cut off frequency. We should have higher sampling rate of around 2KHz to have better noise free and stable feedback loop.

数字图像处理中基于vc++的颜色空间变换源程序-digital image processing based on vc color space conversion source

基于visual c++ 2005和OpenCV环境 FaceDetection是一个静态人脸检测程序，注意FaceDetection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，此外本程序需要导入一个分类器文件haarcascade_frontalface_alt.xml，该文件在OpenCV中提供，请读者将该文件复制到程序同一目录下，程序即可正确运行。-Based on visual c++ 2005 and OpenCV is a static environment FaceDetection face detection procedures, attention to the needs of FaceDetection library OpenCV support provided, so please first of all to the relevant Web site to download and install OpenCV, addition of this procedure needs to import a document classifier haarcascade_frontalface_alt.xml, the document provided in OpenCV, the reader is the file copied to the procedures under the same directory, the program can run correctly.

二维新的粒子群算法matlab程序，希望对大家有有帮助。-The new two-dimensional particle swarm optimization matlab program, and they hope to help everyone.

一个经典的matlab的sift算法，应用在图像配准，初学者可以好好学习下-Matlab a classic of the sift algorithm, used in image registration, beginners can learn under

MAD相似性度量准则的改进，实现模板匹配程序-MAD similarity measurement criteria to improve and achieve template matching procedures