SAR_echo_simu

Zernike矩，分为一个主函数和六个子函数，主要步骤有注释，方便理解，有图，方便使用。主程序前段更改了判断输入参数个数的代码(Zernike moments, divided into a main function and six subroutines, major steps have comments, easy to understand, map, easy to use. The main front-end change the code determine the number of input parameters)

实现航迹融合的算法，多雷达探测实现目标数据的融合并完成对目标的模拟仿真，这里主要是对一个目标的跟踪，需要在vc++6.0上实行(Track fusion algorithms, multi-radar detection to achieve the target data fusion and complete simulation of the target, mainly tracking a target, you need to implement in vc++6.0)

说明：  用c写的jpg编解码，包括jpeg2bmp和bmp2jpeg，可在vc6下调试。(With c written jpg codec, including jpeg2bmp and bmp2jpeg, may be under vc6 debugger.)

可利用哈夫变换法在变换域提取直线，利用g共线和直线相交的关系，使直线提取问题转化为计数问题()

YUV Quantization using VS2010

说明：  思想：把原始图的直方图变换为均匀分布的形式，这样就增加了灰度值的动态 范围从而达到增强图像整体对比度的效果。其优点是能自动地增强整个 图像的对比度。 1、对灰度图像进行直方图的均衡化处理，达到图像增强的目的。 2、利用平均滤波和中值滤波对图像进行平滑滤波。 3、利用拉普拉斯运算对图像进行锐化滤波。(Idea: transform the histogram of the original image into the form of uniform distribution, so as to increase the dynamic gray value Range to enhance the overall contrast of the image. Its advantage is that it can automatically enhance the contrast of the whole image. 1. The gray image is processed by histogram equalization to achieve the purpose of image enhancement. 2. Average filter and median filter are used to smooth the image. 3. Using Laplace operation to sharpen the image.)

实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪(Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking)

说明：  像素与图像基本指标—彩色图像的基本信息、像素颜色值、图像的大小、矩阵形式等、对灰度图像计算有关统计参数：（1）图像的大小；（2）图像的灰度平均值；（3）图像的自协方差；（4）图像的灰度标准差、对图像进行45度，19度，98度等任意角度的旋转，并计算原图与旋转后图像的相关系数和协方差矩阵(Pixel and Basic Index of Image)

建立在Moravec算子基础上提取特征点后与另外一幅图像进行匹配计算，并输出特征点对应的匹配点像素坐标

通过计算机usb摄像头进行图像采集，然后实时处理，跟踪其中运动物体，并进行计数，采用中值滤波法得到背景，并根据需要进行更新，视频处理采用了动态差分与前景差分结合的方法，效果比较理想，但无法解决人物重叠的问题(Usb camera through the computer for image acquisition, and real-time processing and tracking moving objects in which, and the count median filter by using the background and update as needed, video processing using a dynamic difference with the prospect of differential combination of methods, results ideal, but can not solve the problem of overlapping characters)