TheuseandyanjiuofAdaptivefilter

本程序能够实现图像处理中的图像细化，是基于matlab的。(This procedure can realize image processing image thinning is based on the matlab.)

说明：  视频动态报警开发,动态处理视频轨迹(Dynamic development of video alarm, dynamic video trajectory treatment)

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.)

本程序利用matlab语言，实现了对高光谱遥感图像的读取并做主成分分析，将结果按贡献率大小顺序排列并显示出来。(This procedure using matlab language to achieve a high spectral remote sensing image analysis components to read and call the shots, according to the results in order of contribution size and display.)

实现三层图像金字塔构建和两幅图像融合，代码完整(Three layers of image Pyramid construction and two image fusion, complete code)

可以计算图像的信噪比，适合初学者使用，采用matlab编写(Can calculate the signal to noise ratio images, suitable for beginners to use, using matlab)

说明：  本程序利用python程序对hdf文件进行处理，转换格式。(This procedure USES python program to process THE HDF file, convert the format)

模糊聚类的图像分割,用matlab语言编写实现模糊聚类的图象分割。(Fuzzy clustering image segmentation, matlab language used to achieve fuzzy clustering image segmentation.)

说明：  为图像分别加高斯噪声和椒盐噪声，采用中值滤波方法对受噪声干扰的图像滤波，窗口分别采用3*3,5*5,7*7；(Gaussian noise and salt and pepper noise are added to the image respectively. The median filtering method is used to filter the image disturbed by noise. The window is 3 * 3,5 * 5,7 * 7;)

说明：  按照最邻近原则把待分类样本点分到各个簇。然后按平均法重新计算各个簇的质心，从而确定新的簇心。一直迭代，直到簇心的移动距离小于某个给定的值。(According to the nearest neighbor principle, the sample points to be classified are divided into clusters. Then the centroid of each cluster is recalculated according to the average method to determine the new cluster center. Iterate until the moving distance of the cluster center is less than a given value)