mser-example

各个坐标系之间的坐标变化：地心大地坐标到地心空间大地直角系，地心系和测站系，测站系和测站系等之间的变化，旋转，平移。(Coordinate changes between the various coordinate systems: geocentric geodetic coordinate system to the geocentric Cartesian space earth, geocentric system and station lines, change the station, such as lines and lines between stations, rotation, translation)

说明：  包含多个函数，可直接调用（需按注释输入参数），对ppm和pgm文件，读、写和多种图像处理。(Ppm and pgm file for reading and writing, and various image processing)

Gaussian Kernel Density Estimation with Bounded Support

用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 (Target tracking application context radar data processing, radar in the search to the goals and objectives of the record location data of the measured target position data (called a point of the track) processing, automatic formation flight path, and the target in the next The moment the position prediction. This article briefly discusses the Kalman filtering method to predict a single target track, and by means of Matlab simulation tools to assess the effect of the experimental.)

活动目标检测源码,用混合高斯算法编写，适用于复杂场景视频监控(alive target detection，used in GMM algorithm)

mfc图像处理，实现图像的配准，自己编写，可以应用(mfc image processing, image registration)

基于感兴趣区域的图像检索。matlab的，希望对大家有所帮助。(Region of interest based image retrieval. matlab, and want to help everyone.)

调频连续波双站SAR成像源代码，采用matlab编写(the code of FMCW BiSAR imaging)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)

matlab6.5图形图像处理源程序 部分内容 第二章压缩包 (matlab6.5 )