ForensiDetectionofImageManipulationUsing

说明：  ENVI+C#二次开发环境搭建 主机操作系统：Windows10_x64 C#编辑器：Microsoft Visual Studio 2012 Ultimate ENVI5.3 SP1 win64+IDL8.5(ENVI+C#secondary development environment construction operating system:Windows10_x64 IDE:Microsoft Visual Studio 2012 Ultimate ENVI5.3 SP1 win64+IDL8.5)

基于sift的图片近似拷贝检测技术算法的实现(Sift-based image copy detection technology approximation algorithm)

说明：  基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

说明：  matlab 拉盖尔-高斯光束 pl=01 模态(Matlab Laguerre Gaussian beam PL = 01 mode)

分别用kmeans、fcm、kfcm实现图像分割(use kmeans, fcm and kfcm segment image)

利用k—mean算法根据U、V进行聚类分块，最后完成图像分割，分割出得块用不同的灰度等级表示出来。(K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.)

通过采用反步滑模控制补偿伺服系统中的齿隙影响，提高跟踪精度(By using the backstepping sliding mode control of backlash compensation in servo system, improve the tracking accuracy)

孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别 等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平 滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。 本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑 抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定 量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets. And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)

基于自适应技术的遗传算法matlab源码，可应用于图像的去噪处理(based on adaptive technology GA Matlab source can be applied to the image denoising)

说明：  MSRCR的一种相关简单算法，和自己的一点改进算法，使用平台为MATLAB(A simple algorithm of MSRCR and its own improved algorithm, using the platform of MATLAB)