Matlab

说明：  主动视觉的摄像机标定程序，基于马颂德的立体视觉标定方法，测试程序可再与我联系！(Active Vision camera calibration procedure, based on Ma Songde Calibration Method for Stereo Vision, testing procedures can contact me!)

matlab编写的CT图像的滤波反投影程序(matlab prepared CT images of the filtered back-projection program)

基于伽马分布的极化SAR图像CFAR检测算法的研究与实现(gamma distribution CFAR detection)

椭圆拟合，输入中心坐标及椭圆长半轴和短半轴即可画出相应椭圆(ellipse fitting)

Multi-Scale Structural Similarity Index (MS-SSIM). Download here. Please cite the following paper in any published work if you use this software. Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," IEEE Asilomar Conference Signals, Systems and Computers, Nov. 2003.

摄影测量源码，连续法的相对定向算法，提供实验数据和程序(Photogrammetric source, the relative orientation algorithm of the continuous method, the experimental data and procedures)

最小二乘相位解包裹算法，基于快速傅里叶变换(Least-squares algorithm for phase unwrapping)

基于图像的纹理特征参数的MVA的提取，该方法使用方便，理解简单。(Image-based texture feature extraction parameters of MVA, the method easy to use, easy to understand.)

对偏振图像进行融合处理。其中包括比较经典的小波变换，ihs垂直变换以及拉普拉斯金字塔变换。。。(The polarization image fusion processing. Including the more classic wavelet transform, ihs vertical transformation and Laplacian pyramid transformation. . .)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)