GMMP-and-tracking

说明：  用于立体匹配的三种算法，显示视差图，matlab代码(Three algorithms for stereo matching, display parallax map, matlab code)

实现单尺度retinex算法，用于图像的对比度增强，对低能见度图像处理效果较好。(Retinex single-scale algorithm for image contrast enhancement, image processing on low visibility is better.)

说明：  图像分割程序，可以分割红外车辆目标、人物等目标和图像。(Image segmentation program, you can split infrared target vehicles, characters and other objectives and image.)

ostu图像分割阈值算法,对Ostu图像分割最优阈值进行优化处理，极大缩短了搜索图像阈值计算时间，与传统的枚举法Otsu方法相比,在计算时间上具有显著的优点。(ostu threshold image segmentation algorithm for image segmentation Ostu optimal thresholds to optimize the processing, greatly reduces the search image thresholding computation time, with the traditional enumeration method Otsu methods, in the calculation of time has significant advantages.)

基于信息熵对图像进行加密，加密后的直方图已经抗攻击能力(Based on the information entropy of image encryption, the encrypted histogram has ability against the attack)

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!)

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. )

本代码用matlab实现了图像的Jpeg编解码，使我的毕业设计，在这里与大家共享。(The code is implemented using matlab Jpeg image codec, so my graduation, and share here.)

matlab中图像的循环读入程序，我做了图像imadd叠加操作，别的函数也可以类似的使用这种循环(matlab image read into the program cycle, I make an image overlay imadd operations, other functions can also be similar to the use of this Cycle)

这是一篇对于SIFT算法应用于非刚性图像配准的论文，相当不错(This is one for the SIFT algorithm is applied to non-rigid image registration of papers, quite good)