图像匹配的的原图和目标图片，很实用的，欢迎下寨

粒子滤波的五个经典例子，需要的赶紧下，对与学习部分内容很有帮助-Particle filter five classic example of the need to hurry, the right part of the contents and learning very helpful

该程序是用于图像处理的，包括对位图进行滤波，阈值分析等功能-that the procedure was used for image processing, including bitmap filtering, threshold analysis, and other functions

D5/3整数小波变化，实现二维图像的整数小波变化，可用于图像的无损压缩，可实现多级变换，用户可自己设定变换级数-D5/3 integer wavelet change, realize two-dimensional integer wavelet image changes, can be used for lossless image compression, multi-stage transformation can be realized, users can set their own transformation series

好东东 教你轻松学会matlab的GUI界面设计-MATLAB GUI VIDEO

本程序用VC实现Harris角点检测的算法，浅显易懂，便于操作。-This procedure VC realize with Harris corner detection algorithm, easy to understand and easy to operate.

该文件可以对摄像头图象进行捕捉,记录,播放,停止-The document camera can capture images, record, playback, stop

这是一个快速DCT算法，在VC++下编写的，通过了验证。是一个值得借鉴的算法-This is a fast DCT algorithm, in VC++ Prepared, through the verification. Is a reference algorithm

图像锐化算法，锐化的效果很明显，能达到预期的效果，很适合应用再实践中，运行速度一般。-Image sharpening algorithm, the effect of sharpening it is clear that to achieve the desired results, it is suitable for further practice, the operating speed in general.

对于彩色图像的 k均值算法的matlab代码 文件置于c盘根目录-Colored graphics k-means algorithm matlab code

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result