interp

说明：  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)

python语言，三种阈值分割方式，简单阈值分割，自适应阈值分割，OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

基于最优条件下三次B样条小波的多尺度边缘检测算子(Based on the optimal conditions of cubic B spline wavelet multi-scale edge detection operator)

在MATLAB平台下，可以实现散斑的生成。(The generation of speckle is realized under the MATLAB platform.)

视频水印嵌入算法源程序（VC实现，对话框界面），对于做视频水印的同志可在此基础上进行自己的创新工作。(video watermarking algorithm source code (VC, the dialog interface), for doing video watermarking comrades in this on the basis of their innovation.)

这款小DEMO是关于自己学习LOD地形分层算法的例子，其中简单显示了实现算法的过程(The DEMO is a small study on their own examples of LOD terrain hierarchical algorithm, which simply shows the process of algorithm)

本代码是基于Bandelet的硬阈值SAR图像去噪，结果与小波变换进行对比，结果表示其在峰值信噪比，边缘保持系数上均有一定的提高。压缩包中有程序和SAR图像。(This code is based on Bandelet SAR image denoising with a hard threshold .the results were compared with the wavelet transform, and the results indicated that in the peak signal to noise ratio(PSNR)and edge-preserving index(EPI), there is a certain on the increase. There are procedures and SAR images in this compression package.)

BTC的基本方法,并且编程实现,显示,观察编码后的图像,推荐给大家(BTC basic method and programming implementation, display, observe the encoded image, recommend to everyone)

计算一幅图像的熵，matlab编程文件，任意读取一幅图像，计算信息熵(Calculate the entropy of an image)

pca算法，用于数据降维，注释非常详细清晰，(PCA algorithm, for data dimensionality reduction, clear and very detailed notes,)