Subpixel-level-corner-

说明：  噪声估计法，先定位噪声点，再实行去噪处理(Noise estimation method, first locate the noise points, then implement denoising.)

c++语言或MATLAB编程对256×256的灰度图像进行8×8DCT变换，对变换后的结果进行处理： 采用区域编码和阈值编码方法实现图像压缩，保留 50％ 的系数(区域编码保留前 50%个系数，阈值编码保留 50%的大系数）； 再反变换后，对比原始图像和处理后的图像。(C++ or MATLAB programming performs 8 * 8DCT transform on 256 * 256 grayscale images, processing the transformed results: The region coding and threshold coding are used to compress the image, and the coefficient of 50% is retained (the first 50% coefficients are reserved for the region code and the large coefficient of the threshold code is retained by 50%). After inverse transformation, the original image and the processed image are compared.)

维纳滤波和均值滤波，及利用自适应维纳滤波的图像去噪MATLAB代码，效果优于维纳滤波(Using adaptive Wiener filtering for image denoising MATLAB code, the effect is better than Wiener filtering)

这是一篇讲述最新的干涉图处理的关键技术的文章，非常实用！(This is an article about the latest key interferogram processing technology is very useful!)

cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)

GVF Snake算法的VC源码。GVF是活动轮廓算法Snake的一种改进，能够解决Snake不能够收敛到凹行区域的缺陷(GVF Snake algorithm VC source. GVF active contour algorithm is an improvement Snake, Snake can be resolved can not converge to the concave line defect region)

实现简单的mapx开发，放大缩小地图等功能

用于通过三维激光点云数据生成二维的地理参考特征图像，此处以高程作为特征(Used by 3 d laser point cloud data to generate two-dimensional geographical characteristics of reference image, the elevation as features)

matlab实现图像匹配的视差图，可以用于3D重建系统，机器视觉等领域。(Matlab image matching parallax figure, and can be used in 3 D reconstruction system, machine vision, etc )

图像融合里边剪切波变换方法的工具箱，欢迎下载(Shear wave transformation method for image fusion in the toolbox, welcome to download)