这个是摄象机线性散步定标的源码，是在MATLAB下运行的

Ｃ++实现的由匀速直线运动造成的模糊图象进行模糊和复原操作，图像要求２５６色-C achieved by the uniform linear motion blurred image caused by the fuzzy and recovery operations, require 256-color image

图像格式转换的C源码，将rgb格式转变成yuv格式-Image of the C source code format conversion to rgb format into yuv format

用matlab处理图像，实现各种滤波等图像增强的功能。-Matlab image processing used to achieve a variety of filtering, image enhancement functions.

基于c++BUILD的图像噪声处理，有各种滤波法去除各种噪声，还有添加各种噪声的方法-Based on c++ BUILD deal of image noise, there are a variety of filtering method to remove all kinds of noise, there are ways to add a variety of noise

经典图书[1999] Level Set Methods and Fast Marching Methods-Book: [1999] Level Set Methods and Fast Marching Methods, Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science by . A. Sethian University of California, Berkeley

粒子滤波matlab程序，主要是扩展的卡尔曼粒子滤波-Particle filter matlab program, mainly extended Kalman particle filter

实现了对usb摄像头进行图像采集的功能，-achieve the right usb cameras for image acquisition function,

Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively).

八值图像连通区域标记，为每个连通区域分配一个唯一的标号，处理后的图像按照从左到右，从上到下的顺序获得连续的标号-Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to continuous labeling

抓图精灵，可以自由编辑图像，时实抓图等功能，附源码！-Grab the wizard, be free to edit images, drawings and other functions when it is attached to source!