CFAR

使用傅立叶变换对图像的条纹噪声进行滤除，分别使用了理想低通滤波、巴特沃兹低通滤波和高斯低通滤波进行处理(The use of Fourier transform on the image to filter out the noise of the stripes, respectively, using an ideal low-pass filtering,巴特沃兹Gaussian low-pass filtering and low pass filter to deal with)

去除高斯噪声的有效码源，去噪能力强，使简单。(The effective removal of Gaussian noise source code, denoising capability, so that simple.)

说明：  利用边界匹配算法恢复受损图像寻找最优运动矢量(edge detection function [hough_space,hough_circle,para] = hough_circle(BW,step_r,step_angle,r_min,r_max,p) )

最大熵，求概率密度分布。目前的程序问题，是初始值选取需要完善。希望高手能解决。(The maximum entropy seeking probability density distribution. The current program, the initial value selected to be perfected. Expert can solve.)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

在idl环境下批量处理提取modis ndvi数据(the program can extract the ndvi data from modis ndvi product)

说明：  这是我们数字图像处理课程的大作业，我自己用matlabGUI做了一个界面，希望对大家有用，谢谢！(This is a large digital image processing program operations, for my own use matlabGUI made an interface and hope for all of us, thank you!)

基于全变分（TV）的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时，利用其它通道的图像特征辅助进行去模糊或反卷积，效果不错！！附带有对应的文章做参考。(This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tested with different noise with different regularization parameters. It also compared with otherhods.)

基于Retinex算法的单尺度图像增强算法。(An image enhancement algorithm based on RETINEX theory.)

给图像加椒盐和高斯噪声，以及空域滤波（中值和均值滤波）！(to Image pretzels and Gaussian noise, and the spatial filter (mean values and filter)!)