fast_distance_map_caculate

改进的水平集方法，采用C_V模型进化。为多相位(improve the level set method, C_V evolutionary model. For the multi-phase)

目前MATLAB里边对于多点计算仿射矩阵普遍采用RANSAC法，但是比较麻烦计算量也相对较大，通过最小二乘法来进行仿射矩阵的估计能够大大提高该效率，所以奉上自己在实验室写的仿射矩阵估计函数，来弥补matlab函数库在这方面的不足。(The MATLAB inside for calculating affine matrix commonly used RANSAC method, but more trouble calculation is relatively large, estimated by the least squares method to the affine matrix can greatly improve the efficiency, so give yourself in laboratory to write the estimated affine matrix function, to compensate for the lack of MATLAB Library in this area.)

求二维图像的极大值点与极小值点，很好用，希望对大家有帮助(image maximum points and minimum points, very useful)

快速剪切波变换的源程序，用于图像处理，运行速度快(Fast shear wave transform source, used for image processing, fast running)

易语言图像混色汇编版源码，易语言写的图形图象编程，很好的参考。(Easy language image color mixing assembly version of source code, easy to graphics programming language to write, a good reference.)

说明：  MATLAB视频人体异常行为识别 本文设计了一款人体行为异常监控系统，主要适用人群是老年人，在摄像头固定的情况下，自动检测人体运动轨迹，并与提前设定好的行为库进行匹配，分析判断是否具有异常行为。(Human abnormal behavior recognition in matlab video In this paper, a monitoring system of human behavior abnormality is designed, which is mainly suitable for the elderly. When the camera is fixed, it can automatically detect the human movement track, and match with the behavior database set in advance to analyze and judge whether there is abnormal behavior.)

代码实现2014 CAD 文章 Progressive and iterative approximation for least squares B-spline curve and surface fitting(The code implementation of Progressive and iterative approximation for least squares B-spline curve and surface fitting)

数字图像相关方法（DIC），其中DIC_FITC_sp是主程序，StepSearch是三步搜索法，CalculateC是计算相关系数的函数，SubpixelEstimation是曲面拟合法计算亚像素位移的函数( U6570 u5B57 u56E u502F3 u6L0 u6L0 u6L0 u6E0B u5R9 u6B0 U662F u8B1 u7B97 u7R0 u5133 u7F2 u7F2 u7F2 u7F2 u7F0 u7FB u7F0 U51FD u6570)

计算指纹方向场的代码。。。。。。。。。。。。(code for computing orientation of fingerprint )

实现图像识别，基于小波变换实现图像特征提取，然后神经网络进行训练(The image recognition is realized, the image feature extraction is realized based on wavelet transform, and then the neural network is trained.)