Image_Restoration

FDTD simulation using GPU acceleration.

电力系统潮流计算程序，C++程序，电力系统稳态时的小作业(Power flow calculation program, small operations C++ procedures, steady state power system)

利用matlab进行的poisson插值(Using matlab conducted poisson interpolation)

VC++实现的GAC水平集， 这样的程序很少见，大部分都是matlab编写的，虽然程序比较简单，但是很有借鉴和参考价值。 有曲线演化的过程(GAC level set VC++ implemented, such programs are rare, and most of them are prepared matlab, although the procedure is relatively simple, but very useful reference and the reference value. Curve evolution process)

说明：  一个数如果恰好等于它的因子之和，这个数就称为“完数”。例如6=1＋2＋3.编程 　　　 找出1000以内的所有完数。 (If a number is just equal to the sum of its factors, this number is called &quot End of a few.&quot For example 6 = 1+2+3. Programmatically find all finished within a number of 1000.)

matlab编程常用命令集，编程命令的使用方法及命令的快速查找(matlab programming of commonly used command sets, the use of the programming commands and orders quickly find)

GM工具积分属性修改-by_精湛架设-奇迹私服一条龙-奇迹SF版本(GM Tools integral attribute modification-by_ superb erection- PW train miracle- a miracle SF version)

此函数是用C语言编写的MEX文件，与MATLAB中imreconstruct函数功能相同，效果一样，运行速率更快。(This function is written in C MEX file, the same function with in MATLAB imreconstruct function, the same effect faster run rate.)

vc2008 dos 程序 已知AB两点坐标，半径R。 求2个圆心。 公式使用MATLAb推导的，做了一点简化，和小的改动。 都在函数 double jisuanYanxin(double Ax,double Ay,double Bx,double By,double R) 里面(vc2008 dos program known AB two coordinates, radius R. Seeking two center of the circle. Formula derived using MATLAb do a little simplification, and small changes. In the function double jisuanYanxin (double Ax, double Ay, double Bx, double By, double R) which)

说明：  不带像素操作的机器视觉代码-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information(Without pixel machine vision operation code-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information)