SuperPixel

说明：  EM算法实现,是matlab主站上获得的可靠程序。(EM algorithm，which is from the matlab net about image processing.)

说明：  以python语言为平台，对机载激光雷达原始数据Las格式和txt格式进行读取，并根据信息熵确定维度特征计算的最佳邻域半径，最后计算得到最佳邻域半径和最佳维度特征值(Based on Python language, the Las format and TXT format of airborne lidar raw data are read, and the optimal neighborhood radius is determined according to the information entropy. Finally, the optimal neighborhood radius and the optimal dimension eigenvalue are calculated.)

对超声图像的去噪和分割，可以显示肿瘤图像的边缘和面积(For ultrasound image denoising and segmentation, image can show the tumor edge and area)

code 128 条码生成与译码演示 code 128 条码生成与译码演示(code 128 barcode generation and decoding demo code 128 barcode generation and decoding demo)

基于matlab实现对 图像的亮度提取 以及对其亮度均匀性进行评估！(Matlab-based implementation of image brightness, as well as its extraction to assess the uniformity of brightness!)

实现16位bmp图像转jpeg，并可以通过调节源码可实现压缩率(16bit bmp zipped to jpeg style )

基于harris兴趣点的图像检索程序。先特征提取，进而进行特征匹配，最后还有结果的返回。(Harris points of interest based on image retrieval process. First feature extraction, feature matching and then carried out and, finally, the results returned.)

光线跟踪算法，能显示基本图形（球形，立方体，墙面），实现阴影，高光，反射，折射等效果(Ray tracing algorithm, can display basic graphics (sphere, cube, wall), to achieve shadows, light, reflection, refraction and other effects)

Kalman滤波在船舶GPS定位导航系统中的应用(Application of Kalman Filter in Ship GPS Positioning and Navigation System)

说明：  该节主要介绍下matlab下的光流法以及一个研究物体检测方面的一个较好的工具箱 ：Piotr’s Computer Vision Matlab Toolbox .将这两个工具箱及其里面所有文件的路径都添加到matlab路径中去，这样的话基本上是可以用了。 Piotr’s 的工具箱里面的函数很多，也涉及到了很多方面，更主要的是关于目标检测方面的。(This section mainly introduces the optical flow under Matlab and a better toolkit for researching object detection: Piotr 's Computer Vision Matlab Toolbox. Add the two toolkits and all the files in the path to the MATLAB path, which is basically useful. There are many functions in the toolbox of Piotr 's, and there are many aspects involved)