testDLT

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)

说明：  马氏过程的应用很广， 机器人路径计划， 自动飞行器导航，多目标跟踪， 电梯计划， 网络交换和路由， 银行客户保有等等。(Application of Markov process is broad, robot path plan, automatic vehicle navigation, multi-target tracking, lift plans, network switching and routing, bank customers to maintain and so on.)

本软件能根据轧制工艺条件快速准确地计算出轧制力，并已经通过实际检测，与实际值误差在10％之内，建议教学轧制力时采用(software based on the rolling conditions quickly and accurately calculate the rolling force, and has adopted effective detection, and the actual value of the 10% error within the recommended teaching rolling force used.)

matlab实现的DBSCAN聚类分析，通过文件输入数据，不同的颜色代表一类数据(Matlab implementation of DBSCAN clustering analysis, through the document import data, different colors represent a category of data)

说明：  使用中值，均值，小波，DCT，PCA五种方法实现对图像的去噪处理。(Five methods, median, mean, wavelet, DCT and PCA, are used to denoise the image.)

matlab realtime 要求的环境：matlab (matlab realtime)

灰度共生矩阵和灰度梯度共生矩阵纹理提取，能够计算纹理的多个测度(Gray Level Co-occurrence matrix and gray-gradient co-occurrence matrix texture extraction)

说明：  掌握OpenGL中的矩阵变换、模型视图变换及投影变换。(The perspective projection, main view, overhead view and side view of the space tetrahedron shown in Figure 7-41 of the textbook P228 are displayed in four viewing areas using the multi-view area in OpenGL.)

说明：  用于分解图像，检测产品是否合格。此外，它还包括重组图像，实现图像还原。(decomposition of images for detection products qualified. In addition, it also includes reorganization of images, the image is reduced.)

这是一个对动力学模型进行仿真的代码，可以得出动力学仿真图像(dynamics simulation )