Matching-neighborhood-difference-

运动目标检测的一些程序，包括帧差法、三帧差分法和混合高斯模型(Moving target detection procedures, including frame difference method, three difference method and Gaussian mixture model)

说明：  前馈神经网络图像去噪，DnCNN的MATLB实现，以及相应的峰值信噪比和结构相似性的计算。(DnCNN,MATLAB,And calculation of peak signal-to-noise ratio structural similarity)

说明：  通过matlab，可以快速得到图像的特定区域的灰度值，里面也有一些解释(Through MATLAB, we can quickly get the gray value of the specific region of the image, which also has some explanations)

自己的小波包程序（含消噪、能量特征提取、信号重构等），希望对大家有帮助(Wavelet packet procedure (including de-noising, the energy feature extraction, signal reconstruction, etc.), we hope to help)

有关于求取图像相关系数的matlab M 文件；虽然很简单，但可以为你省去那么一点时间。 共享改变未来！(Correlation coefficient on the strike' s matlab M image file although very simple, but it can save you some time. Share changes in the future!)

这是一个极化SAR处理过程中freeman分解的matlab程序，希望对初学者又用。(A polarization SAR freeman decomposition in the process of dealing with the matlab program, and with hope for beginners.)

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. )

这是一个经典的马尔科夫场程序。算法详细，而且里面含有一篇与程序对应的文献，解释非常详细，程序非常好用(This is a classical Markov field program. Algorithm is detailed, but it contains a corresponding literature and procedures, explaining in great detail, the program is very easy to use)

2维的基于互信息的图像配准算法，使用powell法作为优化算法(2-dimensional mutual information based image registration algorithms, the use of law as the optimization algorithm powell)

PMF FFT捕获技术性能仿真，分段匹配滤波法和改进算法相比较(FFT PMF capture technology performance simulation, segmented matching filter and improved algorithm comparison)