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这是matlab视频图像处理中提取图像并将其转化为灰度图像的m文件,这是图像处理中的第一步(This is a matlab video image processing to extract images and translate them into gray image of m documents, this is the first step in image processing)

说明：  这个例子展示了如何使用proj_match_points_transformtion_ransac在拼接应用程序中观察两个图像。(This example shows how to use proj_match_points_distortion_ransac tomatch two images in a mosaicking application.)

说明：  利用K均值聚类对图像lena进行分割，图片可根据需求进行更换。(Image Lena is segmented by k-means clustering, and the image can be replaced according to the demand.)

说明：  本程序提出了变步长自适应滤波算法的步长调整原则:即在初始收敛阶段或未知系统参数发生变化时,步长应比较大,以便有较快的收 敛速度和对时变系统的跟踪速度 而在算法收敛后,不管主输入端干扰信号v ( n) 有多大,都应保持很小的调整步长以达到很小的稳态失调噪声. 根据变步长公式编的程序，很有参考价值. (This procedure, a variable step adaptive filter algorithm step adjustment principle: that in the initial convergence phase or unknown system parameters change, the steps should be relatively large in order to have fast convergence speed and time-varying systems tracking speed in convergence, no matter the main input interference signal v (n) how much should be adjusted to maintain a small step to achieve a small steady state misadjustment noise. compiled according to the formula variable step procedure useful reference.)

说明：  图像滤波，中值滤波，自适应，对比结果，图像去燥使用(Image filtering, median filtering, adaptive, comparative results, medical image use)

张量投票算法,对连接断裂的线段有很好的效果(Tensor Voting)

说明：  实现信号的小波分解，绘制小波不同尺度下的信号分解图形，同时去除噪声，实现信号的小波重构(The realization of the wavelet decomposition of signals, mapping at different scales of wavelet signal decomposition graphics, while removing noise, the realization of the signal wavelet reconstruction)

数字图像处理用到的标准测试图像，很多图片。(IMP test images。)

说明：  检测火灾，本课题为基于matlab的火灾检测识别，烟雾报警，火焰检测，通过几何参数判别，即面积增长率，角度等。完美运行。(Detection of fire, this topic is based on the MATLAB fire detection and recognition, smoke alarm, flame detection, through the geometric parameters, that is, area growth rate, angle and so on. Perfect operation.)

图像三维重建 matlab环境 可用于各种图像(Image three-dimensional reconstruction of the environment can be used for a variety of images matlab)