target_tracking_using_kalman

采用基于信道非均匀性校正改进的RLS算法实现对探测器的非均匀性校正(An improved RLS algorithm based on channel nonuniformity correction is used to correct the nonuniformity of detector.)

实现图像边缘的傅里叶描述子，可用于边缘检测，形状分析。(Matlab achieve image edge of the Fourier descriptors, can be used for edge detection, shape analysis.)

车牌识别，图像分割出车牌，然后进行具体识别，matlab源代码(vehicle license plate recognition)

相机标定工具箱，首先通过线性的方法求解出部分的摄像机参数，然后再利用非线性优化方法求出包括畸变系数在内的所有标定参数的最优解(Camera Calibration Toolbox for Matlab)

说明：  一种实现超分辨率图像处理的新算法,本算法在综合前人算法的基础上，做了很大改进。很适合图像处理。(An implementation of the new super-resolution image processing algorithms, the algorithm in integrated algorithm based on the predecessors has done a lot of improvements. Very suitable for image processing.)

说明：  将hdf格式转换为tif格式、重投影、重采样(.hdf to .tif, resample)

数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理(Digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation of the methods used to enhance image contrast P0304: Histogram of homogenization P0305: analog image by Gaussian white noise and Salt and Pepper Noise impact P0306: A two-dimensional median filtering function medfilt2 of interference by salt and pepper noise image filtering P0307: using MATLAB in filter2 function affected by noise interference images mean filter P0308: Image Adaptive Weiner filtering P0309: the use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask treatment)

图像的检测消失点，运用到边沿检测，霍夫变换等(vanishing point detection)

基于RADON变换的。运动模糊处理，其中程序请按说明使用(Based on the RADON transform. Motion blur processing, in which procedures follow the instructions to use)

ccd图像检测程序。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(ccd image detection program. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .)