GoogleEarthEngine

提取图像的SURF特征点。包含两个例程，分别为提取到的特征点与特征点匹配(Extract SURF feature points from the image)

本代码实现了基于卡方分布(nakagami 分布)的恒虚警检测(CFAR)，通过在查找表的形式，实现参数估计和阈值估计，完成对目标的检测。(The code based on the chi-square distribution (nakagami distribution) of the CFAR (CFAR), through the form of a lookup table to achieve the threshold parameter estimates and estimates to complete the target detection.)

一种改进的聚类算法应用到图像处理中，实现图像的边缘检测和分割，内附程序图片和论文。(An improved clustering algorithm applied to image processing, image edge detection and segmentation, containing pictures and papers proceedings.)

图像立体匹配的有关源码，挺不错的，一起来分享吧(Matching three-dimensional image of the source, very good one to share with you)

example used in Python & VTK

可以在harris角点检测和ncc粗匹配之后实现精确准确的角点匹配，为下一步配准做准备(Can the Harris corner detection and NCC coarse matching after achieve precise accurate angular point matching, preparing for the next registration )

数字图像copy-move篡改检测。特征提取，相似块搜索(detection of copy-move forgery in digitial image)

运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)

说明：  matlab编写的纹理图像分割，用c-v模型进行图像分割(matlab prepared texture image segmentation, cv model using image segmentation)

说明：  图像融合指标，综合熵、空间频率、互信息等等，一共7种。在图像处理后的质量评价方面很有用(Fusion index, comprehensive entropy, spatial frequency, mutual information, etc., a total of 7 species. In the image processing is useful for quality assessment)