MATLAB-image-processing

VC++与MATLAB混合编程及其应用 摘 要 本文详述了在VC++6.0编译环境下如何利用Matlab来实现应用系统的设计和分析，介绍了通过Matlab与VC应用程序连接的常用方法，分析了VC与Matlab的混合编程的步骤，最后通过一个具体实例的实现过程对上述方法进行了应用性介绍。 ()

检测运动的汽车，该视频文件是一帧一帧的图像按照一定顺序连接在一起。(Detect movement of the car, the video file is an image of a frame connected together according to certain sequence.)

音频系统，coding, modulation, AWGN, 通过最小距离探测码元，解码，播放。根据不同的SNR，测试在多小的SNR情况下，人耳能识别音频。(Audio systems, coding, modulation, AWGN, by minimizing the distance detection symbol, decoding, playing. Depending on the SNR, the test in the case of multiple small SNR, the human ear can identify audio.)

矩阵束程序，可以很好地分析信号各模态的信息，已运行。(Matrix bundle program, can be a good analysis of the various modes of information signal, it has been running.)

MATLAB关于神经网络的仿真与应用，8个m文件源程序(On the simulation of neural network)

MATLAB 潮流计算程序，前推回代方法计算潮流分布(MATLAB flow calculation procedure, forward and backward substitution trend of the distribution method)

Matlab图像处理，点检测、线检测、边缘检测、边缘连接，阈值处理。 (Matlab image processing, detection, line detection, edge detection, edge linking, the threshold processing.)

用matlab编写的一串算法基本框架，可以自行在该代码中编写自己的程序，实现一定功能(Algorithm using matlab basic framework of a string, you can write the code on their own in their own procedures to achieve a certain function)

Matlab源程序，用于反射率积分计算，加权平均反射率的计算。(Matlab source for reflectivity of integral calculation, the calculation of the weighted average reflectivity.)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )