MATLAB

基于低频融合策略的小波图像融合算法 ，高频系数融合均采用基于像素点绝对值取大的规则(Wavelet image fusion algorithm based on low-frequency fusion strategy, integration of high-frequency coefficients are based on the absolute value of the pixel point to take a big rule)

sample illust back image2 mask sample

该源码可以实现对彩色或灰度图像的曲波（Curvelet）特征的提取，以便后续做纹理图像分割。(The source can be achieved in color or grayscale images Qu Bo (Curvelet) feature extraction in order to do follow-up texture image segmentation.)

数字图像相关方法（DIC），其中DIC_FITC_sp是主程序，StepSearch是三步搜索法，CalculateC是计算相关系数的函数，SubpixelEstimation是曲面拟合法计算亚像素位移的函数( U6570 u5B57 u56E u502F3 u6L0 u6L0 u6L0 u6E0B u5R9 u6B0 U662F u8B1 u7B97 u7R0 u5133 u7F2 u7F2 u7F2 u7F2 u7F0 u7FB u7F0 U51FD u6570)

毕业论文，运用小波分析对图像进行处理，内附源代码(Thesis, the use of wavelet analysis of the image processing included source code)

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

sar图像处理gamma滤波器！！！！！sar图像处理gamma滤波器！！！！！sar图像处理gamma滤波器！！！！！sar图像处理gamma滤波器！！！！！(sar image filter gamma)

说明：  实现多视两幅图像的surf特征点提取与匹配(Achieve surf feature point extraction and matching of two multi-view images)

Lee滤波器，具有很好的去噪效果，结合各种小波，可以有效去除SAR图像噪声。(Lee filter, has a good de-noising effect of combination of wavelet can effectively remove the SAR image noise.)

说明：  用matlab利用压缩感知CS实现对一位信号的处理~小波稀疏分解，正交追踪算法重构~1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(CS with matlab using compressed sensing to achieve a sparse signal processing- wavelet decomposition, the orthogonal tracking reconstruction algorithm)