IPN_agreement

说明：  运动检测和背景提取，比较适合于入门者学习，有一定的参考价值(Motion detection and background extraction, suitable for beginners to learn the value of some reference)

图像轮廓特征提取算法源码，用MATLAB软件实现，针对灰度图像有效(Contour feature extraction algorithm source code, using MATLAB software for gray-scale image of effective)

使用vtk库开发的volume程序，主要用于建立多边形面片，用于演示三维体的算法。(Developed using VTK library volume procedures, set up primarily for polygon surfaces for the presentation of three-dimensional body algorithms.)

能量检测法是一种比较简单的信号检测方法[1]， 属于信号的非相干的检测， 直接对时域信号采样值求模，然后平方即可得到；或利用FFT转换到频域，然后对频域信号求模平方也可得到。它无需知道检测信号的任何先验知识，对信号类型也不作限制。 实际上，能量检测是在一定频带范围内作能量积累，如果积累的能量高于一 定的门限，则说明信号的存在；如果低于一定的门限，则说明仅有噪声。能量检 测的出发点是信号加噪声的能量大于噪声的能量。能量检测方法对信号没有作任何假设，是一种盲检算法。 此代码“利用FFT转换到频域，然后对频域信号求模平方”方法来实现对用户的检测。(In fact, energy detection is used for energy accumulation in a certain frequency range. If the accumulated energy is higher than a certain threshold, the existence of the signal is indicated. If the threshold is lower than the threshold, then only noise is indicated. The starting point of energy detection is that the energy of signal plus noise is greater than that of noise. The energy detection method does not make any assumptions about the signal, and it is a blind detection algorithm. This code "converts the frequency domain into the frequency domain by FFT, then calculates the square of the square of the frequency domain signal" to realize the detection of the user.)

三维数据去噪处理，一维。二维数据去噪也可以使用(3D data denoised)

边缘图象分割程序，是使用vb编程，希望有帮助(edge image segmentation procedures, the use of vb programming, with the hope of helping)

程序进行了两张图片的简单合并，适合对控件的使用进行学习(Procedures carried out two simple merger picture, suitable for the control of the use of learning)

说明：  基于YCbCr椭圆模型，使用肤色进行人脸检测(use the skin color to detect human-face base on YCbCr modal)

说明：  PCA图像融合算法，提取主成分来对图像进行融合,感兴趣的可以看看。(Principal component analysis Image fusion algorithm, extraction of principal components to image fusion.Those of you who are interested can take a look.)

自己写的一个图像裁减功能的代码，但必须首先设置好的裁减区域矩形框的坐标。(himself wrote an image of the reduction of the functional code, but must first set a good reduction of regional rectangular box coordinates.)