JABVNYZ247

对有噪声的图像进行图像复原，通过迭代算法实现此功能(Image restoration for noisy images, this function is implemented by an iterative algorithm)

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：  频域滤波器器的一些相关实验和滤波器的实现（包括理想低通，Butterworth低通，高斯低通，理想高通，Butterworth高通，高斯高通滤波器）(Some related experiments of frequency-domain filter and Realization of filter (including ideal low-pass, Butterworth low-pass, Gauss low-pass, ideal high pass, Butterworth high pass, Gauss high pass filter))

绘制二维nurbs曲线，可以通过改变控制点或者权重从而改变图形的形状。(Draw a two-dimensional nurbs curve that changes the shape of a shape by changing the control point or weight.)

单像素相机是基于压缩传感理论实现的，是数码相机发展的另一个革命性的方向，包括了所有单像素前沿的文献(Single-pixel camera is based on compressed sensing theory to achieve, is another revolutionary development direction of digital cameras, including the literature of all single-pixel frontier)

VC++ 位图大PK程序，两幅BMP图像比较大小，希望能对大家有所帮助 (VC++ big PK bitmap program, comparing the size of two BMP images, hoping to be helpful)

在自适应中值滤波的基础上，采用均值与方差得到一个阈值，来判断极值点是不是噪声点！(On the basis of adaptive median filtering, a threshold is obtained by means of mean and variance to determine whether the extreme point is a noise point!)

说明：  sift详细编写,方向等参量，参数取舍详细(sift Detailed compilation of sift, direction and other parameters, detailed selection of parameters sift sift sift sift)

基于DPCA算法的动目标检测，非常实用，希望对你有帮助(DPCA-based moving target detection algorithm is very useful and would like to help you)

首先对车牌识别系统的现状和已有的技术进行深入的研究，然后开发出一个基于 Python 的车牌识别系统，文中先对车辆图像进行高斯去噪、灰度化和边缘检测等预处理方法，然后用颜色特征和形态特征相结合的方法来确定车牌位置，用彩色分割法来完成车牌分割，最后，运用 SVM 分类训练器完成字符识别并使用Python 软件环境进行车牌识别的仿真实验。(License plate recognition based on SVM)