lane_detection

Solutions to problems in the field of digital image processing generally require extensive experimental work involving software simulation and testing with large sets of sample images.

说明：  水下图像处理方法之一的图像融合算法matlab实现(Matlab implementation of image fusion algorithm, one of the classical image processing methods)

说明：  SIFT特征点的提取和匹配，SIFT算法首先在尺度空间上进行关键点检测，确定关键点的位置和关键点所处的尺度，然后使用关键点邻域梯度的主方向作为该点的方向特征，最后由关键点邻域梯度信息生成关键点的特征向量(SIFT algorithm firstly detects the key points in the scale space, determines the location of the key points and the scale of the key points, then uses the main direction of the key point neighborhood gradient as the direction feature of the point, and finally generates the feature vector of the key points from the key point neighborhood gradient information)

一些基本的图像处理算法的matlab实现，包括边缘提取和roc分析等(some basic image processing algorithms to achieve Matlab, including edge detection and analysis roc)

说明：  标定用的c++程序，可以用来标定得到相机的内参矩阵和畸变参数。(Calibration using matlab toolbox, can be used to calibrate the camera s internal control matrix image obtained.)

此算法实现了分形图形分形树的一种叠代算法的实现过程。它充分利用了叠代的思想(algorithm achieved a fractal graphics fractal tree an iterative algorithm implementation process. It makes full use of iterative thinking)

说明：  利用MATLAB对图像进行文件夹中图片进行批量增广(MATLAB is used to enlarge the images in the folder)

gongzhenQ.m:计算双稳态随机共振系统输入输出信信噪比增益，非常明显的随机共振现象。，已通过测试。 (gongzhenQ.m: calculation of the stochastic resonance of bistable stochastic resonance system input output signal SNR gain, it is clear. , Has been tested.)

在本文件中，我主要研究通过行人的表观特征进行识别，例如颜色、纹理等等。用matlab GUI 编写了程序，对行人进行匹配 (Pedestrian recognition of the inter-camera is intelligent surveillance camera network a key research direction. Match the pedestrian different camera, you can cross the pedestrian track of the camera, the expansion of the monitoring horizon, at the same time can have a clearer grasp of the behavior of pedestrians in the entire surveillance area. Different cameras, different lighting conditions, the pedestrian position and a different scale, shelter, etc., making the pedestrian match challenging. In this document, I study to identify by pedestrian apparent characteristics such as color, texture, and so on.)

在学习了数字信号处理、信号与系统、建模与仿真及其医学应用等课程的基础上， 学习一类典型的生物医学信号--脑电的测取、FFT 频谱分析、以及应用数字滤波方法提 取脑电的频带（8－13Hz）信号及其特性分析。(Epilepsy section of the brain wave extraction and analysis of characteristics of the course design report )