双峰法阈值分割

实现帧差法求背景的matlab程序和示例图片(Frame-difference method to achieve the background image matlab procedures and sample)

ELMAN计算方法，改进的算法,非常好用(ELMAN calculation algorithm, the improved，use very well)

图像中的对极几何问题，是一个了解和学习外极线约束方法的不错代码(Image epipolar geometry problems, is a knowledge and learning outside the epipolar constraint method of good code)

rcmc: 距离徙动算法.SAR多点目标成像算法。含主瓣宽度和积分旁瓣比的求解。(rcmc: range migration algorithm. SAR multi-point target imaging algorithms. Including the main lobe width and sidelobe ratio integral solving.)

该算法实现了通过霍夫变换提取直线和圆，希望对大家有帮助(This algorithm can extract line and circle through hough conversion.)

基于光流场的交通汽车检测跟踪Traffic Vehicle Detection and Tracking Based on Optical Flow Field(Traffic Vehicle Detection and Tracking Based on Optical Flow Field)

斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )

说明：  图像增强程序，经测试有一定效果。其中采用模糊增强算法，值得参考。(Image enhancement procedures, have been tested and have a certain effect. Which the use of fuzzy enhancement algorithm, it is also useful.)

双树复小波的matlab包，通过调用其中的函数实现图像处理的功能(Dual-Tree Complex Wavelet Matlab package, call the function implementing the image processing functions)

说明：  双峰法阈值分割。阈值分割法是一种基于区域的图像分割技术，原理是把图像象素点分为若干类。图像阈值化分割是一种传统的最常用的图像分割方法，因其实现简单、计算量小、性能较稳定而成为图像分割中最基本和应用最广泛的分割技术。它特别适用于目标和背景占据不同灰度级范围的图像。它不仅可以极大的压缩数据量，而且也大大简化了分析和处理步骤，因此在很多情况下，是进行图像分析、特征提取与模式识别之前的必要的图像预处理过程。图像阈值化的目的是要按照灰度级，对像素集合进行一个划分，得到的每个子集形成一个与现实景物相对应的区域，各个区域内部具有一致的属性，而相邻区域不具有这种一致属性。这样的划分可以通过从灰度级出发选取一个或多个阈值来实现。(Threshold segmentation)