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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.)

批量的将图像转为tif格式，界面方面操作，放在ENVI的安装路径下即可(convert different format of image to .tiff)

说明：  基于高斯混合模型和隐马尔科夫模型的图像分割算法(Image segmentation algorithm based on Gaussian mixture model and hidden Markov model)

C#绘图板，直线、矩形、圆形、曲线、填充矩形、填充圆形、输入文字、路径(C# graphics tablet, line, rectangle, circle, curve, filled rectangle, filled circle, enter text, the path)

说明：  GS算法，图像经过多次傅里叶变换，最后提取图像的相位信息，加载空间光调制器，观察图像。(GS algorithm, the image after several Fourier transform, and finally extract the phase information of the image, loading the spatial light modulator, the observed image.)

航天卫星轨道运行计算，输入轨道根数或初始位置和速度，输出运行轨迹，并绘出三维图像。(Space satellite orbit calculation, enter the number of the track or the initial position and velocity output running track, and draw a three-dimensional image.)

一篇关于光声成像的图像重建算法研究，开发工具为matlab，罗列了很多理论知识(A photoacoustic imaging of image reconstruction algorithms, development tools matlab, listed a lot of theoretical knowledge )

Viola-Jones Fast Face Detection的matlab实现。(Viola-Jones Fast Face Detection Mex Implementation)

vmd分解之后分解信号和原信号的对比图、频谱图等(After VMD decomposition, the contrast and spectrum of the decomposed signal and the original signal, etc.)

该程序利用全变分算法来去除图像噪声，提高图像的视觉效果。(The program to use the entire variational algorithm to remove the image noise, enhance the visual image.)