5. Morphological Operations

说明：  facet边缘检测的matlab源代码,是基于二阶模型，只要运行最后一个hhh.m就可以了(facet Edge Detection Matlab source code is based on second-order model, as long as the last one run on the hhh.m)

说明：  k-means,DB-SCAN,基于密度峰值的聚类算法的matlab简单实践Clustering-matlab-master(k-means,DB-SCAN,Clustering-matlab-master of Simple practice of matlab based on density Peak clustering)

基于lloyd-max最佳量化器的量化程序，如有需要可随时下载。(Based on the best lloyd-max quantizer quantization procedure, if necessary, at any time to download.)

说明：  利用matlab对图像进行处理，通过形态学开闭运算，实现对光照不均匀啤酒瓶图像进行准确计数(The image is processed by MATLAB, and the image of beer bottle with uneven illumination can be counted accurately by morphological opening and closing operation)

说明：  用来进行滤波的,这是基于matlab环境的编程程序,(Used for filtering, which is a programming program based on matlab environment.)

该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项(The program function is to achieve movement of vehicles on the road statistics. A small module function has the following: 1 solution for video frames and displayed. 2, the video training background image. 3, using the background image used by the background method of testing the prospects for video extraction, and conduct threshold processing, image segmentation, to identify mobile car-connected domain. 4, vehicle statistics. Interface package contains instructions and procedures related to the use of the steps and considerations)

本人研究生阶段做的项目，线结构光视觉传感器的标定中的激光光条中心的提取。 1、通过JPG、PCX、GIF解码方法，来打开BMP、JPG、PCX、GIF格式图像。 2、大津展之法阈值变换，效果较好。 3、三种细化方法，Rosenfold细化、Hildith细化、Pavlidis细化。 4、基于灰度重心法的全分辨率的激光光条中心亚像素坐标的提取。(Calibration )

说明：  PCA图像融合算法，提取主成分来对图像进行融合,感兴趣的可以看看。(Principal component analysis Image fusion algorithm, extraction of principal components to image fusion.Those of you who are interested can take a look.)

说明：  Simple Thumbnail Viewer PRINT

运用sar图像处理的方法，将卫星图片中的农田和城镇区分开来(The method of SAR image processing is used to distinguish farmland and town from satellite images.)