代码1

说明：  基于随机游走的图像分割算法，传统的随机游走算法实现图像分割(Image segmentation algorithm based on random walk)

基于粒子滤波的目标跟踪源码，需要opencv和gsl两个库的支持，运行效率较高(Particle filter based target tracking source, two gsl library opencv and need the support of high efficiency)

MAD相似性度量准则的改进，实现模板匹配程序(MAD similarity measurement criteria to improve and achieve template matching procedures)

它不仅具有Gabor变换的六个方向选择性,而且有更小的冗余度(It is not only selective Gabor Transform six directions, but also smaller redundancy )

著名的psinsar小组开发的MATLAB 源码。可供学习。 (Kampes, B.M., "Radar Interferometry-- The Persistent Scatterer Technique", published by Springer, 2006. The software consists of a Matlab toolbox. Matlab must be installed on your system in order to use it.)

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)

说明：  利用matlab对多光谱遥感影像进行水体指数（ndwi）以及植被指数（ndvi）提取(Extraction of Water body Index (ndwi) and vegetation Index (ndvi) from Multispectral remote Sensing Images by matlab)

自编源码：读取 yuv 文件保存为Jpg图，实现视频文件的转化(Own-source: Read yuv files saved as Jpg map, realize the conversion of video files)

对图像灰度二值化，提取图像中某个色彩的部分并分割(The image is binarized and the part of a color in the image is extracted and segmented)

国外的牛人写的软件，数据降维工具箱，包含了几十种常用的流形学习方法的源码，自带图形界面。(A foreign master write this dimension reduction toolbox,there s dozens of code of common manifold learning methods. )