rat

实现了KFCM算法，对模糊图像进行聚类分析，效果良好(The KFCM algorithm is implemented)

matlab压缩感知中的一种基于全变分正则化的重建算法——TVAL3(In compressed sensing, a reconstruction algorithm based on total variation regularization- TVAL3)

基于meansheift的彩色图像分割方法。其中keyprogram.m为主程序。meanshift为调用函数(Color image segmentation method based meansheift. Where keyprogram.m main program. meanshift call the function)

随机过程实验（研一）包含的程序：离散时间马尔可夫链、连续时间马尔科夫链、布朗运动。(Random process experiments (yanyi) program included: discrete time Markov chains, continuous-time Markov chains, Brownian motion.)

这个Matlab程序，可以从.OBJ文件中读取三维模型，并转换成单元体表示。同时提供了一个绘图plot函数，来可视化三维物体。 (The Matlab program can be. OBJ file to read three-dimensional model, and converted into cell precursors express. At the same time provides a mapping function plot to visualization of three-dimensional objects.)

目标跟踪程序,使用matlab编写,采用CV模型,卡尔曼跟踪,有轨迹模拟,给出了跟踪的误差 目标跟踪,采用CV模型,卡尔曼滤波,给出模拟结果和跟踪结果,给出误差分析(Target tracking program, using matlab prepared, using the CV model, Kalman tracking, trajectory simulations have given a tracking error target tracking, using the CV model, Kalman filter, and track the results of the simulation results are given, error analysis is given)

MKL多核学习综述文章对应的很多MKL代码的合集，里面有很多有代表性的代码，非常详细！(MKL multicore learn many review articles MKL code corresponding collection, there are a lot of representative code, very detailed!)

图形图像处理中的平滑处理，可以实现部分的功能，但是还可以继续完善(Graphic image processing smoothing, can achieve some of the functions, but can also continue to improve)

二维相位展开算法 引导相位展开方法相质量运行QualityGuidedUnwrap2D的。 运行戈尔茨坦枝剪相位展开方法GoldsteinUnwrap2D。 （3D实施质量的制导方法，可根据要求提供）(2D PHASE UNWRAPPING ALGORITHMS Run QualityGuidedUnwrap2D for the phase quality guided phase unwrapping method. Run GoldsteinUnwrap2D for Goldstein s branch cut phase unwrapping method. (3D implementation of the quality guided method available on request))

说明：  通过纹理方向估计消失点，通过消失点来检测道路区域。 该程序应用到了基于纹理的张量投票算法来估计消失点；通过纹理方向和颜色信息，生成用于估计两个最主要道路边界的直方图；最后将道路区域定义为两个检测到的道路边界之间且低于估计的消失点的区域(The vanishing point is estimated by the texture direction, and the road area is detected by the vanishing point. The program applies a texture-based tensor voting algorithm to estimate the vanishing point; through the texture direction and color information, generates a histogram for estimating the two most important road boundaries; finally defines the road area as two detected road boundaries. An area between and below the estimated vanishing point)