iapolarcoord

四个IMAGE窗口，分别对图像进行读取，最大值滤波，最小值滤波及中值滤波。(Four IMAGE window, read the image, respectively, maximum filter, the minimum filter and median filter.)

本程序利用立方体进行标定，从而得到摄像机成像参数(This procedure used to calibrate the cube to get the camera imaging parameters)

利用遥感做变化检测的时候可以用到的数据。(Data Used in Change Detection Using Remote Sensing)

说明：  采用gabor算法，灰度共生矩阵、灰度梯度共生矩阵提取图像纹理信息(Using Gabor algorithm, gray level co-occurrence matrix and gray level gradient co-occurrence matrix to extract image texture information)

说明：  基于matlab的多帧图像超分辨重建。可以自行下载下来直接运行。(Multi frame image super-resolution reconstruction based on MATLAB.)

序列DInSAR技术处理过程，相位在空间维上解缠的MATLAB实现。(Sequence DInSAR technique process, phase d turned over in the space of MATLAB.)

闻婷实验板的四通道视频采集实验，通过键盘控制四个通到采集图像，将采集的图像在同一台显示器上显示(Wen Ting experimental four-channel video capture board experiments, four-pass to collecting image, the collected image displayed on the same monitor keyboard control)

本手册主要介绍粒子滤波的基本原理和其在非线性系统的应用（主要是目标跟踪、多目标跟踪、电源寿命预测方面的应用）。同时本手册最大的优点是介绍原理和应用的同时，给出实现例子的matlab代码程序，方便读者对照公式，理解代码。因此，它是相关方面的研究者快速上手和进入研究领域的快捷工具。同时，对于有一定基础的研究者，可以在本手册提供代码的基础上，做算法进一步改进和深入研究。(This manual describes the basic principles of particle filter and its application in nonlinear systems. The biggest advantage of this manual is to introduce the principles and applications of the same time, given the matlab code example implementation program, formula for the convenience of readers, to understand the code. Therefore, it is relevant researchers to quickly get up and running enter research areas shortcut tool. , Based researchers, on the basis of this manual code to do the algorithm to further improve and in-depth study.)

在matlab中实现透视变换。算法正确高效，这种仿射变换经过修改后可用于图像矫正或者摄像机标定等用途。(Matlab in perspective transformation. Correct and efficient algorithm modified this affine transformation can be used to image correction or camera calibration purposes.)

本代码使用引导滤波器去除图像中的雨滴 在对雨雪天气图像进行清晰化处理之前，要对其中的动态成分进行自动辨识和去除。快速有效的自动辨识及去除方法是构建自适应多种低能见度条件视觉增强算法的前提条件(This code USES the guided filter to remove image in the rain Before the clarifications in rain and snow weather image processing, to the dynamic content of the automatic identification and removal.Quick and efficient automatic identification and removal method is to construct the adaptive multiple visual enhancement algorithm is the premise of low visibility conditions)