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frame_difference.用matlab实现的动态目标检测程序
- 用matlab实现的动态目标检测程序，背景减除法,Using matlab to achieve a dynamic target detection procedures, background subtraction method
meanshift.rar
- meanshift算法实现目标的跟踪，由视频序列文件中提取出第一帧，定义目标区域，进行跟踪，动态显示跟踪结果,meanshift target tracking algorithm, by the video sequence documents to extract the first frame, the definition of the target area, tracking, tracking the results of dynamic display
Homomorphic-filter
- 同态滤波，效果很好。压缩动态范围，提高对比度。-Homomorphic filtering, very good. Dynamic range compression to improve the contrast.
Dinp_2004
- 这是基于动态规划的立体匹配的代码，是当前立体匹配中很好的一种实现方式-This is the stereo matching based on dynamic programming code that is currently in a good stereo matching method to implement
usb-carmer-matlab-RT-process
- 通过计算机usb摄像头进行图像采集，然后实时处理，跟踪其中运动物体，并进行计数，采用中值滤波法得到背景，并根据需要进行更新，视频处理采用了动态差分与前景差分结合的方法，效果比较理想，但无法解决人物重叠的问题-Usb camera through the computer for image acquisition, and real-time processing and tracking moving objects in which, and the count median filter
Corner
- 一种带有自适应阈值和动态支持区域的CSS角点检测算法，其效果被认为优于目前所有的CSS角点检测算法和大多数的其他类型角点检测算法。-a curvature scale space corner detector with adaptive threshold and dynamic region of support, it is considered to be the one of the best corner detection algorithms.
image_processing_toolbox
- This toolbox contains functions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). *
tuxiangzengqiang
- 本程序基于Matlab,初步实现图像增强的基本操作,实现 图像明暗度调整， 图像旋转，更改颜色显示方式，直接灰度调整，图像求反，动态范围压缩，显示原始图像直方图，直方图均衡化，滤波增强等功能-This procedure based on Matlab, the initial realization of the basic operation of image enhancement, image brightness adjustment, image rotation, change t
average-log-square
- 讀取16位元(65536階)raw影像檔，調整其灰階動態範圍至256階，調整方式至少包含平均法、對數法、開平方法，word檔包含了成程式碼與操作說明與結果。-Read 16-bit (65536-order) raw image file, adjust its dynamic range to 256 gray-scale bands, contains at least adjust the way the averaging method, logarithmic law, Kaiping
dongtai
- 动态显示鼠标的坐标值和图像像素值对于动态显示鼠标的坐标值和像素值，在其他语言如vc,vb中都比较方便，有直接的着方 面的函数，本程序在matlab图像处理实现-Dynamic display mouse coordinates and image pixel values for the dynamic display mouse coordinates and pixel value, in other languages such as vc, vb are more convenien
parti
- 粒子滤波及其实现的demo 供大家分享 做动态滤波和分割时经常需要的-Particle filter and its implementation for the U.S. share of the demo to do dynamic filtering and segmentation of the time usually required
DMS
- Accelerated convergence using dynamic mean shift---Matlab 源码-Dynamic mean shift produces comparable results as the standard mean shift algorithm, but can significantly reduce the number of iterations for convergence and takes much less time.
MotionDetection0
- matlab实现视频的动态跟踪，有专门的视频文件，包括run.m tracking.m和video。-video matlab dynamic tracking, there are video files, including video and run.m tracking.m
Neural-Network-pattern-recognition
- bp人工神经网络模式识别教程示例，研究人脸识别 手势识别有帮助-bp nervel network trainning and recognition ,e.g:face & dynamic hand gesture detection and face recognition .I hope it would be very useful for researcher !
matlabImplementationOfDynamicTargetTrackingVideo.r
- matlab实现视频中动态目标跟踪，跟踪动态目标，确实效果很好-matlab implementation of dynamic video target tracking, tracking dynamic target is indeed good results
MatlabImageSequenceOfMovingTargetDetectionAndTrack
- Matlab图像序列中的运动目标检测与跟踪 关于序列图像的动态目标跟踪-Matlab image sequence of moving target detection and tracking on image sequences of dynamic target tracking
dynamic__Modtion_Detection
- 运动动态图像序列的跟踪计算,误差小，精度高，解压以后需要阅读说明使用-the dynamic image to process
matlab
- 动态目标跟踪，静态背景，前景背景动态目标提取(Dynamic object tracking, static background, foreground background, dynamic object extraction)
Matlab火焰火灾烟雾识别系统[带参数，GUI界面]
- 一、课题介绍 本设计为基于MATLAB的火焰烟雾火灾检测系统。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。是个不错的毕设选题。 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。(1.Topic introduction This design
MATLAB烟雾火焰识别GUI界面
- 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(Thi