shipin

EM算法。问题背景是，有N条长为L的DNA序列，每条序列里面有一条长尾K的目标序列，但不知道他的位置，目标序列内的核苷酸服从foreground product multinomial distribution，非目标序列服从background multinomial distribution，改程序意在求解两种分布的参数。(EM algorithm. Background to the issue is that there are N pieces of length L of DNA sequences, each sequence which has a target sequence Nagao K, but do not know his position, the target nucleotide sequence within obedience foreground product multinomial distribution, non-target sequence obey background multinomial distribution, the program is intended to change the parameters in solving the two distributions.)

图像处理中C#畸变校正程序，针对鱼眼图像的径向畸变校正，利用空间直线在校正图像中仍然为直线的基本原理，且直线在除法模型下为圆弧，从而可以通过检测圆弧对鱼眼图像进行畸变校正。(Image processing program C# distortion correction for radial fisheye image distortion correction, the use of space in a straight line in the corrected image as the basic principle is still straight, and a straight line at the division model is a circular arc, so that the arc can be detected by fish eye image distortion correction.)

雷达识别外推程序，可用于多普勒天气雷达等。(Radar identification extrapolation procedure can be used for Doppler weather radar.)

这是个读取视频中每一帧并按顺序保存的小工具，因网上现成的太少，故自己编写(This is a small tool for reading vedio and save every frame in it .)

matlab　ＰＣＡ源代码 有中文注释(source code matlab PCA has Chinese Notes)

用matlab编程实现的POCS-TVM算法，重建了一幅大小180*180的Shepp-Logan头部模型图像，探测器个数260，投影角度为均匀发布在0-180度之间的60个角度。(The POCS-TVM algorithm based on MATLAB programming is used to reconstruct a Shepp-Logan head image with a size of 180*180. The number of detectors is 260, and the projection angle is 60 angles that are evenly distributed between 0-180 degrees.)

抗任意角度旋转的图像匹配算法的matlab实现(image matching of any rotation )

首先对车牌识别系统的现状和已有的技术进行深入的研究，然后开发出一个基于 Python 的车牌识别系统，文中先对车辆图像进行高斯去噪、灰度化和边缘检测等预处理方法，然后用颜色特征和形态特征相结合的方法来确定车牌位置，用彩色分割法来完成车牌分割，最后，运用 SVM 分类训练器完成字符识别并使用Python 软件环境进行车牌识别的仿真实验。(License plate recognition based on SVM)

说明：  采用kalman滤波器进行目标跟踪的源代码(object tracking using kalman filter)

matlab导出iges格式的程序文件，可以matlab读取和导出(The name of the resource property which is the same as the topic name)