Optical-flow-code

图像处理，二维小波变化等指导，说明清晰实用。基于MATLAB(Image processing, two-dimensional wavelet change guidance on clear and practical.)

说明：  SAR-CS成像算法实现，包含运动补偿，速度估计，对0.15m实测数据成过像(SAR-CS imaging algorithms, including motion compensation, the estimated speed of 0.15m measured data into a cross as)

face recognition example for learning

hough 检测直线 算法简单 是静态图像中检测直线的快速实现( Hough detecting )

线性非局部均值滤波器用于图像处理中的去除噪声平滑图像，能够较好的保持图像的边缘(Linear non-local mean filter for image processing to remove noise smoothing of images, to better maintain the image edge)

分水岭经典算法的改造，利用了top -hat变换和 bottom - hat变换来增强对比度(Classical watershed transform algorithm, the use of the top-hat transform and bottom- hat transform to enhance the contrast)

说明：  SVM支持向量机在图像分割中的应用，包含Matlab源代码和SVM所用函数。(The application of SVM support vector machine in image segmentation, including Matlab source code and functions used by SVM.)

VC++版的傅里叶变换函数代码，已经调试过了(program for F code)

模糊C聚类的应用!!利用MATLAB本身自带的FCM函数做的一个例子(Application of fuzzy clustering C!! Using MATLAB itself FCM)

基于像素点的全局阈值法求图像的分割 实现方法有五种： 最小极值法，最优阈值法，最大方差方法，最大熵法，迭代法(Pixel-based global threshold method for image segmentation method there are five: the smallest extreme value method, the optimal threshold method, the largest variance method, the maximum entropy method, iterative method)