K-means代码

用对偶分裂算法处理乘性噪声如盐椒噪声（L1+TV），参数由电脑自动选取，matlab程序(A Duality-Based Splitting Method for L1-TV Image Restoration with Automatic Regularization Parameter Choice)

matlab运动目标检测代码，应用了高斯混合滤波。(something useful for matlab)

有关粒子滤波及其改进算法的资料，对初学粒子滤波算法的人很有帮助(Information about particle filter and its improved algorithm, is of great help to beginners of particle filter algorithm )

该程序包中有基于Hough变换的车道线检测，还有卡尔曼跟踪和别的小程序，都是可运行的，读者可自行学习(The package, the lane detection based on Hough transform, Kalman tracking and other small programs are running, readers can learn on their own)

说明：  ：基于主动轮廓识别和被动轮廓识别方法各自的优缺点，提出结合主动和被动的方法，先对图像进行被动轮廓的预处理，然 后再应用主动轮廓的方法，通过比较选出Canny算子进行预处理，再通过基于概率的方法分割图像，最后再应用Snake模型进行 轮廓提取。并取得较好的应用。(: Identification Based on Active Contour and passive contour recognition advantages and disadvantages of each method, proposed method of combining active and passive, passive first outline of the image pre-processing before applying the active contour method, by comparing the pre-selected Canny operator treatment, and then through the image segmentation method based on probability, and finally application of Snake model for contour extraction. And get better application.)

基于Visual C++的图像边缘检测工程，以Canny为例(Visual C++-based image edge detection works to Canny Case)

asift的matlab和c程序都在里面 大家慢慢研究吧 很好的程序(asift the matlab and c procedures are on the inside we study it slowly very good program)

一个用于电子显微镜下运动细胞的识别跟踪的源代码，出自哈佛医学院的一位教授，对于做物体运动识别估计的各位很有帮助！(Under an electron microscope for cell identification and tracking movement of the source code, from a professor at Harvard Medical School, for the movement of objects do you identify the estimated useful!)

模拟单缝衍射实验，可任意给定单缝的长和宽，得出单缝衍射模拟图像、光量等高线分布图、单缝衍射3D模拟图；另外附带一个关闭全屏的小程序。(Simulation of single-slit diffraction experiment, sewn to order any length and width, draw single-slit diffraction analog image, the amount of light contour maps, 3D modeling diagram single slit diffraction addition Close Full Screen comes with a small program.)

基于纹理度量的图像分割，适用于遥感图像，利用到K-mean算法(texture measurement based on the image segmentation, applicable to remote sensing images, the use of K-mean algorithm)