Renyi2DThreshold

matlab检测圆心程序，基于HOUGH，附测试图像。(Detect matlab center procedures, based on HOUGH, attached to the test image.)

基于堆栈的图像分割算法，速度较普通区域生长法更快(Stack-based image segmentation algorithm, region growing faster than the ordinary method faster)

对车牌进行预处理（图像分割），然后进行文字识别(Pretreatment of the plate (image segmentation), and then proceed to character recognition)

本文主要研究基于水平集方法的活动轮廓模型图像分割，在回顾活动轮廓模 型发展的基础上，介绍了曲线演化理论及其水平集方法，证明了水平集方法可以 有稳定的数值实现方式且其处理拓扑变化的自然性，进一步引出了变分水平集方 法。 本文介绍了两种不同的几何活动轮廓模型：基于梯度信息的李纯明模型以及 基于区域信息的 Chan-Vese 模型（C-V 模型）。在分析上述两模型的优缺点上，提 出了一种改进的 C-V 模型，改进模型引入了距离约束项，同时对基于区域的外部 能量项进行了改进，使得水平集函数重新初始化寓于模型的演化之中，分割结果 对参数的依赖性减小。 (This paper mainly study image segmentation of active contour model based on level set. After reviewing the development of the active contour model, curve evolution and level set method are presented, then we proved that the level set method has a stable numerical realization and can describe the topology change of the contour naturally, in addition we introduce level set of variational method. We introduce two different GAC models in this paper: Li Chunming model which is based on gradient information and Chan-Vese model （C-V model） which is based on region information. Based on the drawbacks and advantages of these two models, we improve the C-V model by adding penalizing energy term of signed distance function, at the same time, mending the external energy term which based on region information, then the re-initialization of the level set can accomplish in the model evolution, and the degree of the segmentation result depend on the parameters decline. )

水平集分割图像的一种算法，属于比较前沿的一种图像分割方法。(A level set image segmentation algorithm, a relatively cutting edge of a segmentation method.)

说明：  这是一个射频雷达模拟器。它生成FMCW雷达数据以获取接近的回波波形信号信号数据。您可以尝试在此模拟器的基础上开发雷达数据处理算法。(This is a radio frequency radar simulator.It generates FMCW radar data to obtain close echo waveform signal data.You can try to develop radar data processing algorithms based on this simulator.)

目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。(Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.)

详细介绍了K-SVD字典训练的详细过程，对稀疏表示研究很有帮助.(Detailed introduces the K- SVD dictionary of detailed training process, the sparse say that research to have the help very much. )

产生螺旋波面的m文件，拓扑核数是3,相位改变量和高度可以自己调节。内附平面波和球面波的示意图以及产生的图片(generating helical wavefront whose topological number is three)

说明：  基于谱聚类和SVM相结合的图像分割程序，在matlab2016b中运行成功(Image segmentation program based on spectral clustering and SVM)