《ｖｃ＋＋图像处理程序设计》第６章　提取图像的边缘，程序有：微分运算，梯度锐化，各种边缘检测算子的设计...

包括画直线、反走样直线、画圆、 画椭圆、画矩形、画多边形、矩形填充、多边形填充、3D变换、光照、贴图等-Including painting a straight line, anti-aliased line, circle, drawing an oval, rectangular painting, painting polygon, rectangle fill, polygon fill, 3D transformation, light, texture, etc.

图象拼接SIFT算法的C原代码--加州大学一个博士生编的.下面是它的几个不同的版本,挑着用吧!-sciences image stitching algorithm C source code-- the University of California, a doctoral student in the series. Below are several of its different versions carry a use!

非常新的论文集，对于初涉图像处理的同学们很有借鉴的价值！-Very new collection of essays, for image processing started his classmates could learn the value of!

butterworth high pass filter

图像线性拉伸和直方图均衡化的组件，可以直接调用接口使用。-Image linear stretching and histogram equalization component, you can directly call the interface.

基于FFT变换、DCT变换、HT变换、小波变换和矢量量化技术的图像压缩的Matlab实现。-Based on the FFT transform, DCT transform, HT transform, wavelet transform and vector quantization image compression technology, the Matlab implementation.

目标跟踪中常用均值漂移算法，以下是关于meanshift的一些改进算法-Commonly used in target tracking, mean-shift algorithm, the following are some improvements on the algorithm of meanshift

基于DCT方法的数字水印论文5篇，对学习基于DCT方法的数字水印初学者会有帮助。可以了解基于DCT的水印基本方法。-DCT-based method of digital watermarking papers 5, to learn methods of digital watermarking-based DCT would be helpful for beginners. DCT-based watermark can learn the basic method.

《几何偏微分方程应用于图像处理》中P_M方程的AOS算法-"geometric partial differential equations used in image processing," P_M equation AOS Algorithm

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