lyapunovexponentofRossler

屏幕差异传输优化例程，程序结合易语言扩展界面支持库和数据操作支持库，调用API函数实现屏幕图像传送的差异优化。(Screen difference transmission optimization routines, programs combining easy language support library expansion interface and data manipulation support library , call the API function to differentiate screen image transfer optimization.)

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )

Transferring color to greyscale images的原文及源代码，包括详细的测试图像以及相应的论文及源代码，是学习图像色采转移必看的经典内容。(Transferring color to greyscale images of the original text and source code, including detailed test image and the corresponding papers and source code is studying the image to see the classic color adopted transfer content.)

说明：  matlab 立体匹配，包含了多种三维重建中的立体视觉匹配(Matlab stereo matching, including stereo vision matching in many kinds of three-dimensional reconstruction)

在ccs编程环境中，用c语言实现对图像均值滤波的处理。(In ccs programming environment, using c language mean filtering the image processing.)

说明：  在MFC中显示各种格式的图片，jpg.png(Display pictures in various formats in MFC, jpg.png)

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

小波纹理分析软件.可以进行各种小波分析及图像重建(Wavelet texture analysis software. Can be a variety of wavelet analysis and image reconstruction)

FCM和稀疏场水平集用于分割医学图像分割(FCM and sparse field level set for segmentation of medical image segmentation)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为OMP算法，对256*256的lena图处理，比较原图和OMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and OMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using OMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)