114a

基于机器视觉，控制三自由度运动控制台来调整显微镜位置，通过图像处理得到易拉罐的表面刻痕大小和长度。(The software control the motion platform with 3 d.o.f. to position the microscope and then test the notch of cans using image processing.)

mimics10中文教程，主要用于二维图形采集以后的三维重建(Mimics10 Chinese tutorial, it is mainly used for 2 d graphics after acquisition of 3 d reconstruction)

基于混沌的音视频加密系统的设计与实现论文；对混沌学习有帮助(Design and implementation of the chaotic audio and video encryption system)

一个计算多重分形谱的matlab程序，希望对大家有用。(a calculation of the multi-fractal spectrum of Matlab procedures in the hope that it may be useful right.)

图像移动，随着鼠标移动图像，可以自由在空间内平移(image auto move)

使用Matlab生成一维光栅条纹，可用于结构光三维重建。(Matlab Generate One Dimensional Grating)

由多光谱图像的3个波段构成的RGB分量经IHS变换后，可将图像的空间特征(，)和光谱特征(H、S)分离(From multi-spectral image consisting of three-band RGB components by the IHS transform, may be characteristic of the image space (,) and spectral characteristics of (H, S) Separation)

说明：  图像几何变换（如旋转）时用到的最近领域和双线性插值方法，(Image geometric transformations (eg rotation), when used in recent field and bilinear interpolation methods,)

说明：  Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition

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.)