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经典的针对SAR图像边缘检测的ROA算法(edge detection using ROA operator in SAR image)

说明：  classic goldstein filter by matlab for interferogram phase noise filtering(classic goldstein filter by matlab)

matlab 用于图像融合的论文，有各种算法源代码(papers, matlab for image fusion algorithm source code)

利用多尺度高斯函数去除场景的光照分量；然后构造了一种二维伽马函数，利用光照分量的分布特性调整二维伽马函数的参数，降低光照过强区域的亮度值，提高光照过暗区域的亮度值，最终实现对光照不均匀图像的自适应校正处理。(The multi scale Gauss function is used to remove the illumination component of the scene, and then a two-dimensional gamma function is constructed. The parameters of the two-dimensional gamma function are adjusted by the distribution characteristics of the illumination component, the brightness value of the light illuminated region is reduced and the brightness value of the light dark area is improved. Finally, the adaptive correction of the uneven illumination image is realized. Positive treatment.)

基于先验信息和射影几何变换的车牌图像矫正 对于图像矫正还是有帮助的(License plate image correction based on a priori information and projective geometry transform for image correction or help)

说明：  图像融合算法，高通滤波法、IHS法、PCA主成分分析、小波融合、小波和IHS结合的融合方法(Image fusion algorithm, high pass filter method, IHS method, PCA principal component analysis, wavelet fusion, wavelet and IHS fusion method)

Susan算法，用于角点检测。很先进的方法，国内有人改进过，这是原来的方法。(Susan algorithm for corner detection. The most advanced methods, there are those who improved, this is the original method.)

一种求解电大平台天线互耦的时域积分方程快速算法(Solving the Antenna TV platform stie fast algorithm)

说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)

基于图像签名的显著性区域检测，算法很巧妙，好用(computation of a saliency map based on the Image Signature, as described in the following paper: "Image Signature: Highlighting sparse salient regions", Xiaodi Hou, Jonathan Harel, and Christof Koch, IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 194-201 (2012))