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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.)

CT重建图像时，先用BM3D滤波，然后运用经典的非局部平均去噪，效果很好。。(CT reconstruction image, the first with BM3D filter, and then use the classical non-local average denoising, very good. .)

二值图像的Zhang快速并行细化算法，具有速度快、保持细化后曲线的连通性和无毛刺产生等优点。(Zhang fast parallel thinning algorithm)

说明：  内含M文件 利用对数比实现，两幅多时空SAR图像变化差异图 (Logarithm figure than the implementation differences )

说明：  基于遗传和蚁群混合算法的图像配准算法 需要利用matlab遗传工具箱(Based on genetic and ant colony algorithm for hybrid image registration algorithm need to use genetic toolbox matlab)

meanshift聚类，找到聚类中心,以及数据的类别(Clustering meanshift to find cluster centers, as well as the type of data)

图像处理包括图像的各种变换、阈值分割、边缘提取、边缘跟踪等等很多处理的源代码,可以正常运行(Image processing includes a variety of transformed image threshold segmentation, edge detection, edge tracking and so many of the source code, you can normally run)

这是一个非常经典的特征提取算法，matlab写的2DPCA源码(This is a very classical feature extraction algorithm 2DPCA, matlab source code)

对视屏中动态目标的形心追踪,matlab代码,阈值分割,形心计算,序列图读取显示(The centroid tracking of dynamic targets in the video screen, matlab code, threshold segmentation, centroid calculation, sequence diagram reading and display)

说明：  实现给定图像中目标的有效监测，并根据颜色对目标分割。(The object can be detector, and it is segmented by the color.)