TV_model

车辆检测，车辆识别，对输入的车辆图像进行识别并输出识别结果(Vehicle detection, vehicle recognition, recognition of input vehicle images and output of recognition results.)

完整的可运行AAM模型的matlab代码，附有测试图像，matlab 2009测试通过(Complete AAM model can run matlab code, with a test image, matlab 2009 test pass)

用CUDA并行处理方法改写的图像降噪算法，包括KNN,NLM,以及改进的NLM方法。配置环境适合VS2010+CUDA5.0,对使用CUDA的同学来说是很好的教材。(Image denoising algorithms including KNN,NLM and refined NLM run on CUDA, useful demo for who learns CUDA based parallel programming.)

基于标准遗传算法的摄像头标定程序，内附readme(Standard genetic algorithm based on camera calibration procedures, containing readme)

六种图像增强的方法，线形反锐化掩膜方法，直方图均衡等。(6 kinds of image enhancement methods, linear unsharp mask method, such as histogram equalization.)

用于图像中边缘检测的重要算法，radon变换，该MATLAB程序实现了radon变换，直接确定图像中边缘位置和边缘强度(Radon convert)

利用霍夫线检测实现车道线的自动检测并判断是否偏离(Using Hof line detection to achieve automatic detection of lane line and determine whether or not to deviate the)

提取图像的SURF特征点。包含两个例程，分别为提取到的特征点与特征点匹配(Extract SURF feature points from the image)

物体分割，Ross Girshick的R-CNN + fast R-CNN + faster R-CNN(object classification Ross Girshick. R-CNN+ fast R-CNN+ faster R-CNN)

基于混沌的图像比特级加密算法（新的置乱和扩散策略）(Image bit level encryption algorithm based on Chaos (New scrambling and diffusion strategy))