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通过计算机usb摄像头进行图像采集，然后实时处理，跟踪其中运动物体，并进行计数，采用中值滤波法得到背景，并根据需要进行更新，视频处理采用了动态差分与前景差分结合的方法，效果比较理想，但无法解决人物重叠的问题(Usb camera through the computer for image acquisition, and real-time processing and tracking moving objects in which, and the count median filter by using the background and update as needed, video processing using a dynamic difference with the prospect of differential combination of methods, results ideal, but can not solve the problem of overlapping characters)

说明：  一种比较实用的sar影像边缘检测算法，谢谢大家交流(A practical edge detection algorithm for SAR images. Thank you for your communication.)

INSAR相位解缠绕程序，matlab编的(INSAR phase unwrapping procedures, matlab series)

对图像进行降采样处理，将原图像变为五分之一大小。(The image down-sampling processing, the size of the original image into a fifth.)

基于均值漂移算法实现图像的分割，总共带有三个文件，其中两个是两个子程序(Based on mean-shift image segmentation algorithm, with a total of three documents, two of which are the two subroutines)

说明：  灰度图象的直方图均衡化；梯度；直方图规定化；(Keywords histogram equalization of gray image; gradient; histogram specification;)

说明：  本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy related knowledge is introduced to realize full-automatic image segmentation. However, when the Gaussian mixture model is used to analyze the image data, there will be some over-fitting phenomenon, resulting in that we cannot get the expected number of clusters. In this paper, a reasonable merging criterion is designed to simplify the model and effectively eliminate the over-fitting phenomenon, so that the final clustering number is in line with the expectation. A reasonable criterion is designed to improve the automatic image segmentation method and make the segmentation result more optimized.)

模式识别中高斯模型，一个比较有用的用matlab实现的程序代码(pattern recognition Gaussian model, a useful comparison with the realization of the Matlab code)

该算法为距离-多普勒成像算法，针对场景的多散射点目标录取回波数据，采用匹配滤波的方法实现距离向与方位向的压缩，识别出目标并得到其位置信息。(The algorithm is range Doppler imaging algorithm, aiming at the multi scattering scene target extracting echo data, matched filtering method was used to realize the distance and azimuth compression, identify the target and its location information.)

matlab实现的直线检测方法，主要为hough变换，包括图片及实验结果(Matlab implementation of the line detection method, mainly for the Hough transform, including pictures and experimental results)