叠加平均去噪过程的实现

IDL实现modis数据的辐射校正 修改文件路径即可用(IDL achieve modis radition correction Modify the file path can be used)

图像灰度拉伸、直方图均衡算法以及FCM聚类算法。(Image stretching, histogram equalization algorithm and the FCM clustering algorithm.)

基于先验信息和射影几何变换的车牌图像矫正 对于图像矫正还是有帮助的(License plate image correction based on a priori information and projective geometry transform for image correction or help)

用matlab软件编写的图像配准代码，用于图像配准或图像处理(matlab edge detect-matlab edge detect)

利用霍夫变换进行椭圆检测，无需模板，不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)

通过使用块匹配法实现运动矢量的检测，块大小和搜索区域大小可自定(Achieved through the use of block matching motion vector detection, block size and search area size can be customized)

一个人体运动识别跟踪的示例程序，里面附带了一个运动视频，运行run.m文件。程序里包含了轮廓提取，跟踪算法，很好的tracking学习程序(A human motion recognition tracking sample program, which comes with a sports video, to run run.m file. The program includes a contour extraction and tracking algorithm, good tracking learning program)

一种有效的匹配滤波估算地层品质因子的方法，精度较高，稳定性较好，值得借鉴(A kind of effective method of matched filtering to estimate formation quality factor, high precision, good stability, is worth using for reference)

说明：  根据差影法采取视频中两帧进行对比，得出差别的地方进行目标特征提取(Comparison of two frames in video based on difference method,And get the difference to extract the target features)

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)