qpegps_0.2.3.tar

AForgeNet 是基于.net框架使用C#高级面向对象语言设计开发的专门为开发者和研究者学习和使用的开源图像处理类库，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习(AForgeNet is an open source image processing class library designed and developed for developers and researchers based on. net framework using C # advanced object-oriented language. It includes computer vision and artificial intelligence, image processing, neural network, genetic algorithm and machine learning.)

对图像的对角线投影，就是沿着对角线进行直方图统计。(Diagonal projection of the image, that is, along the diagonal histogram statistics.)

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.)

说明：  提取视频中的图片，每一帧的信息，把视频分为图片信息(get picture of video)

用于去除眼动，眼漂的插件。下载后解压到eeglab 插件目录下，启动matlab 设置好路径就可以自动打开，在eeglab tool 中可以选中使用。(A plug-in for removal of eye movement and eye drift. After downloading, unpack it to the eeglab plug-in directory, start MATLAB and set up the path to open automatically, which can be optionally used in eeglab tool.)

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)

非压缩视频图像帧内水印的密写与复密写研究，源码和论文材料(Video Watermarking Steganography)

多分类问题的支持向量机源程序一对一方法 绝对可以运行(Multi-class SVM using One-Against-One decompositionoao)

利用模糊C均值图像分割,此为matlab环境下的仿真代码.(Using fuzzy C-means image segmentation, this matlab code simulation environment.)

说明：  ransac算法实现，图像匹配使用，消除不是正确匹配的对应点。(ransac)