keypointExtraction

2014年西安电子科技大学数字图像处理上机实验，同时是研究生和本科生的代码及作业 (2014 Xi' an University of Electronic Science and Technology of digital image processing experiments on board, while the graduate and undergraduate students and job code)

自己编写的图像腐蚀与膨胀matlab代码，经试验证明与matlab中自带的腐蚀和膨胀函数运行效果相同，可供初学图像处理的同学参考使用。(The image corrosion and expansion matlab code written by myself has been proved to be the same as the corrosion and expansion function of the matlab. It can be used by students who are ready for beginner image processing.)

K-SVD的工具箱，使用非常简单，直接运行demo。有助于学习K-SVD，对初学者非常有用。(K-SVD Toolbox, easy to use and it is very useful for beginners.)

CVPR2011文章Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns(paper of CVPR2011 Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns)

跟踪目标的算法，camshift,meanshift.(Target tracking algorithm, camshift, meanshift.)

geotiff_segment.影像分割的小程序，简单易用，非常方便，开发环境IDL.(geotiff_segment.Small image segmentation procedures, simple to use, very, IDL development environment.)

PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。(Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired. )

说明：  基于matlab实现对将视频以帧为单位截取为图片，用背景差分法进行比对，实现对运动目标的检测。含代码，运算结果。(Based on MATLAB, the video is captured as a picture by frame, and compared with the background difference method to achieve the detection of moving objects. Including code and operation result.)

图着色问题（Graph Coloring Problem, GCP）又称着色问题，是最著名的NP-完全问题之一。路线着色问题是图论中最著名的猜想之一。(Graph coloring problem (Graph Coloring Problem, GCP), also known as coloring problem, is the most famous NP-complete problems. Line graph coloring problem is one of the most famous conjecture.)

用数字图像处理主要是为了修改图形,改善图像质量,或是从图像中提起有效信息,还有利用数字图像处理可以对图像进行体积.(Using digital image processing is mainly graphics in order to modify and improve the image quality, or from the image to bring effective information, as well as the use of digital image processing can be carried out on the image size.)