work

运用计算机图形学的知识，采用4阶B样条基函数，节点向量取为[0,0,0,0,1/4,2/4,3/4,1,1,1,1] 先绘制控制多边形，再用分段直线段绘制B样条曲线(Using the knowledge of computer graphics, the 4 order B spline basis function is used, and the node vector is taken as [0,0,0,0,1/4,2/4,3/4,1,1,1,1]. First, draw the control polygon and draw the B spline curve by piecewise straight line segments.)

比较简单的jpeg编码解码程序.( Compared with simple jpeg code decoding procedure )

基于人群分类的SEIR模型的仿真，得出模型中各参数(传播率，等)对谣言传播范围的影响(Simulation of SEIR model based on crowd classification)

对于空间两个点云，利用经典的icp算法进行匹配(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. )

首次适应算法First Fit： 从空闲分区表的第一个表目起查找该表,把最先能够满足要求的空闲区分配给作业,这种方法目()

检测图像中的轮廓，并定位坐标，可以对图片特征惊醒提取。(Detect the image contours, and position coordinates can be awakened picture feature extraction.)

使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling contest.)

说明：  用于计算图像的空间频率和空间频率图（可看作是图像的轮廓）(Used to calculate the spatial frequency and spatial frequency graph of the image)

说明：  高光谱图像数据集，Pavia University scene该数据是高光谱图像处理中常用的数据之一，对高光谱图像算法性能的验证具有通用性(Hyperspectral image data set, Pavia University scene This data is one of the commonly used data in hyperspectral image processing, and it has universality to verify the performance of hyperspectral image algorithm)

说明：  可见光影像的密集匹配，很经典的算法，效果也非常理想(image matchingimage matching)