retinex

本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。 这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。 main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘 制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数 y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。 从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions. The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD. main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data. From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds. )

说明：  对3D数据运用gpu实现八叉树，完成分割并进行渲染。(The use of 3D data on the GPU octree to achieve complete segmentation and rendering.)

主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类(Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method)

图像配准的源程序，matlab编写的，试试看(image registration source, prepared by the Matlab Try)

用以图像分类，可以设计自己的数据集训练模型(For image classification, you can design your own data set training model)

内容包括高斯混合概率假设密度滤波器仿真程序，GM-PHD滤波器提供了一种PHD滤波器工程化的方法，在无数据关联的情况下进行目标跟踪。(This algorithm is extended to accommodate mildly nonlinear target dynamics using approximation strategies from the extended and unscented Kalman filters.)

数值实现施瓦兹-克里斯多夫变换 可将一般区域保角映射为单位圆，条形带，方形等等基本区域，包含manual. matlab源码，有GUI，可实现点、点映射的显示(Numercial realization of the Schwarz-Christoffel Conformal Mapping)

sijiequzao 是台雪城老师的四阶去噪模型代码； subspace clustering accuracy of the cod 是子空间聚类正确率代码； TVdual 是ROF模型的原始对偶算法代码； TVH-1fj 是TV_H-1图像分解模型代码； TVl1fj 是TV_L1图像分解模型代码。(" Sijiequzao" is the teacher' s desk Syracuse Fourth Order denoising model code " subspace clustering accuracy of the cod" subspace clustering is the correct rate codes " TVdual" original ROF model dual algorithm code " TVH-1fj" is TV_H-1 image decomposition model code " TVl1fj" is TV_L1 image decomposition model code.)

基于分片重排列技术的维数约简方法，用于特征提取。(Patch Alignment for Dimensionality Reduction，IEEETrans.，2009.)

matlab编写全极化雷达影像pauli分解，分解为三个分量，希望对你有帮助(matlab write full-polarization radar images pauli decomposed into three components, you want to help)