ABdemo

说明：  关于图像处理技术在冬小麦测试中的应用，用VC编的软件能对小麦进行二值化处理，中值滤波和灰度变换。(On image processing technology in the winter wheat test the application of the software made by VC on wheat binarization processing, median filtering and gray-scale transformation.)

介绍混合像元解混里面的端元提取算法N-FINDR(Describes the mixed pixel unmixing inside endmember extraction algorithm N-FINDR)

此程序实现matlab GUI上的图像处理，包括图像加噪（高斯，椒盐等），以及图像均衡、二值，以及多种锐化方法，图像亮度调节，另外还有图像保存、对比功能。(This procedure on matlab GUI image processing, including image plus noise (Gaussian, salt and pepper, etc.), and a graphic equalizer, two values, as well as a variety of sharpening method, image brightness adjustment, in addition to save the image, the contrast function.)

基于霍夫变换开发一种较通用的快速圆检测方法，并将之应用到虹膜图象的检测中，完成对虹膜内、外边缘的定位。(Hough transform based on the development of a more general-purpose fast circle detection methods, and to apply it to the detection of iris images, the completion of the iris inner and outer edge of the positioning.)

可以打开各种图像格式，并显示，很好很强大(Can open a variety of image formats)

说明：  一、课题介绍 本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法，误识别大，局限性强。结合火焰是实时动态跳跃的，采用面积增长率，角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频，通过下一帧和上一帧的差异发现是否有火情，并可发出语音报警。本设计带有一个人机交互式GUI界面，界面友好。是个不错的bishe选题。 二、算法流程 结合火焰的面积增长率，角点和圆形度三个维度综合判断。并且得出每帧图像火焰部分的该三个参数，实时显示在GUI上。 三、GUI界面设计(This design is based on MATLAB flame smoke fire detection system. The traditional method of using color has large error recognition and strong limitation. Considering that the flame is real-time and dynamic jumping, the area growth rate, corner and roundness are combined to determine whether there is flame. The test object of the design is video. Through the difference between the next frame and the previous frame, whether there is fire is found and the voice alarm can be sent out. This design has a personal computer interactive GUI interface, the interface is friendly. It's a good choice for BiShe.)

自己编写的关于2013年的文章 a variational method for multi-source remote-sensing image fusion 的程序，基本实现了相关功能。(I have written a progrma about a variational method for multi-source remote-sensing image fusion publish in 2013,and the basic functions of the problems have been solved.)

hog完整代码，图像处理方面，得到灰度分布直方图(Hog complete code, image processing, get gray distribution histogram)

该算法可以清楚的将雷达目标检测出来，去除旁瓣遮挡效应，提高雷达目标检测的分辨率。(The algorithm can clear the radar target detection out, remove side lobe barrier effect, to improve the resolution of the radar target detection.)

python实现的三维空间维罗尼图算法演示。(3d voronoi use python)