IPP试验算法，可以在VC6/VC7/CB5/CB6下运行。测试图为一个400*400的256灰度图。演示了如何使用IPP，显示保存等基本图像处理实现方法。...

图像的简单操作，比如：读取，显示，膨胀，腐蚀，边缘提取，等等。-image of a simple operation, such as : read, display, expansion, corrosion, edge extraction, and so on.

smartdeinterlace图形图像处理去交织

数字图像处理实习中的几种图像处理方式 包括图像转换 几何处理 线性变换 等等 -Digital image processing internship in several image processing methods, including image conversion treatment geometric linear transformation and so on

一个纹理映射的例子- A texture mapping example

该源代码可以直接下载下来使用，而且是地地道道的对RGB图像进行分割，我已经测试通过了。-The source code can be directly downloaded to use, but also out-and-out on the RGB image partition, I have the test passed.

该函数采用kmeans法进行阈值分割 二值化kmeans.c-The function kmeans method using threshold segmentation kmeans.c Binarization

深入浅出介绍计算机视觉的最新动态。内容包括： * Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration * Extracting camera motion and scene structure from image sequences * Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms * Image-based lighting for illuminating scenes and objects with real-world light images * Content-based image retrieval, covering queries, representation, indexing, search, learning, and more * Face detection, alignment, and recognition--with new solutions for key challenges * Perceptual interfaces for integrating vision, speech, and haptic modalities * Development with the Open Source Computer Vision Library (OpenCV) * The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image s

在matlabx下仿真三帧差分法，用于目标分割-In the next simulation of three matlabx difference method for object segmentation

这是国际上首次采用GPU来实现立体视觉匹配的应用，此后GPU的应用才开始变的广泛起来，很值得从事GPU编程和开发者阅读，里面实现的很精简，读懂要花点功夫哦。-This is used for the first time the international community to achieve GPU matching stereo vision applications, since the application of GPU began to become widespread, and is worth engaging in GPU programming and developers to read and realize it

对MR图像进行各项异性滤波。能在同质区域平滑噪声，边界处不被平滑。-process the MR image using anisotropic filter. Smooth noise in homogeneous regions, the boundary is not smooth.