Extensionofgravity

基于暗通道先验理论的去雾算法，使用rgb暗通道计算大气光及透射率获得去雾图像(Since the scene radiance is usually not as bright as the atmospheric light, the image after haze removal looks dim. So we increase the exposure of J(x) for display.)

vb仿大漠屏幕找图，速度极快 屏幕找色点 图像查找visualbasic vb6找图(VB,VB6,VISUAL BASICK ,FIND PICTURE ,QUICK SEARCH IMAGE.SEARCH PICTURE)

compute the root-mean-square error

软阈值去噪加中值滤波，m文件，直接运行，有gui界面(Plus soft thresholding median filter, m files, directly run a gui interface)

针对各类分数阶混沌系统进行同步，数值仿真结果证明系统的稳定性(Numerical simulations show that the system is stable for all kinds of fractional order chaotic systems.)

由点云数据（point cloud）生成网格（mesh）的matlab实现(Converts a pointcloud (unordered vertices) to a mesh of triangles by connecting the nearest 3 points and calculates the normal of each vertex and triangle. Also finds the neighboring triangles of each vertex and the neighboring triangles of each triangle. )

说明：  是做的一个分割文件的算法以及,寻找给定点的最近点的算法(Is to do a partition of the algorithm, as well as documents to find the nearest point to fixed-point algorithm)

完整的图像处理程序，完成基本的图像处理功能，如，各种二值化算法的实现，图像边缘检测，图像分割，降噪等。其中有车牌识别实例。(Complete image processing program, the completion of the basic image processing functions, such as, a variety of value of implementations of the algorithm, image edge detection, image segmentation, noise reduction. License plate recognition instance.)

说明：  在这个知识库中，图形信号处理的一些有趣的特性被表示出来。演示通过经典信号处理和图形信号处理对一维和二维欧几里得域信号应用低通滤波器，比较两种方法的结果。在此基础上，验证了图形信号处理的工作机制。此外，还描述了在非欧几里得域上滤波信号的示例。(In this repository, Some fascinating features of Graph Signal Processing were represented. Demos incudes applying a low-pass filter on both 1D and 2D euclidian domain signal by classical signal processing and also Graph signal processing to compare both results are the same. Within that way, we will validate the working mechanism of Graph Signal Processing. In addition to this, an example of filtering a signal on the non-euclidian domain was also represented.)

针对CT 医学图像和MR I 医学图像成像特点, 提出了基于快速整数提升小波变换的融合方法。在CT 和 MR I 两幅医学图像配准的前提下, 利用提升小波变换把图像分解成低频和高频子图像, 对于小波变换后的高频 子图像, 选择区域标准差大的作为融合后的子图像 对于低频子图像, 采用加权融合, 最后进行小波逆变换, 得到 融合后的图像, 并对融合后图像用信息熵、平均梯度、相关系数的指标进行评价。实验结果表明, 基于快速整数提 升小波变换融合中, 小波高低频系数采用不同的规则能够取得更好的融合效果, 其轮廓清晰。该算法能够提升融 合后的医学图像信息量, 同时有效地保护图像的细节信息, 在执行时间和图像质量上均优于普通小波算法。(A imed at the characterist ics of CT andMR Imedical images, a new image fu sion al2 go rithm based on the fast in t lif t ing w avelet t ran sfo rm s is p ropo sed. Two o riginal images are decompo sed by the fast in t lif t ing w avelet t ran sfo rm s. The fu sion ru le based on the max imum standard deviat ion value variance is u sed to fu se the h igh f requency sub2image, w h ile a w eigh t2 ed average fu sed ru le is app lied by coeff icien t s of the low f requency. F inally, the fu sion image is recon st ructed fo r perfo rm ing inverse fast in t lif t ing w avelet t ran sfo rm s. The fu sion image is evaluated by en t ropy, average gradien t, and co rrelat ion coeff icien t s. Experimen tal resu lt show s that the fu sion image hasmo re info rmat ion than o riginal images and imp roves the quali2 ty of o riginal images. M eanw h ile, the fu sion image p ro tect s detail characterist ics of the image, thu s the real2t ime p rocess and image qualit ies are w ell than tha)