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matlab

于 2011-07-24 发布文件大小:6061KB

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下载积分: 1 下载次数: 390

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代码说明：

基于matlab的时频率分析工具箱，包括了小波变换，WVD，SPWVD等等好多的时频分析方法(Matlab-based time-frequency analysis toolbox, including a wavelet transform, WVD, SPWVD so many time-frequency analysis method)

文件列表：

matlab
......\2isar.rar,6654,2011-06-04
......\CS.rar,3244,2011-06-04
......\FSA.rar,2917,2011-06-04
......\isar.rar,3407,2011-06-04
......\ISAR_Image.rar,2682,2011-06-04
......\ISAR_Rotation.rar,269722,2011-06-04
......\ISAR_STFT.rar,9757,2011-06-04
......\ISAR_Translation.rar,9398,2011-06-04
......\radar.doc,49664,2011-06-04
......\range_migration.rar,1966,2011-06-04
......\SAPToolbox.rar,911732,2011-06-04
......\SARimagingalgorithms.rar,128443,2011-06-04
......\sarppt.rar,1547557,2011-06-04
......\sarproject.rar,4967,2011-06-04
......\SAR_simulation(1).rar,920695,2011-06-04
......\STFT_data.rar,15274,2011-06-04
......\时频分析处理软件.zip,2320638,2011-06-04
......\雷达工具箱.zip,110713,2011-06-04

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说明：一、主要研究内容 1.基本内容本设计目标在于利用Matlab强大的图像处理能力和实用便捷的编程方法，通过处理包含人脸的视频帧系列图像，灰度积分投影技术的眼睛定位方法，进而利用perclos计数，计算眨眼率，从而得到比较准确的疲劳状况。包括lun文初稿撰写。 2.具体要求本设计基于灰度积分投影技术的眼睛定位方法，再结合perclos技术。首先通过图像预处理技术得到灰度分配较为均匀的图像,然后分别利用水平和垂直灰度积分投影曲线结合人脸的结构特征找到眼睛的位置坐标,实现了准确的眼睛定位,通过perclos技术技术眨眼率，根据先验值得到是否疲劳。二、算法原理视频输入——预处理去除非人脸区域——人脸定位——人眼定位（灰度积分投影）——眼睛张合度——perclos技术统计——输出结果三、GUI界面设计 [需要有一定编程功底](1. Basic contents The goal of this design is to use the powerful image processing ability of MATLAB and the practical and convenient programming method, through processing the video frame series images including face, the eye location method of gray integral projection technology, and then using PERCLOS count to calculate the blink rate, so as to get a more accurate fatigue condition. Including the first draft of Lun.)

2020-08-07 12:41:57下载

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在本文件中，我主要研究通过行人的表观特征进行识别，例如颜色、纹理等等。用matlab GUI 编写了程序，对行人进行匹配 (Pedestrian recognition of the inter-camera is intelligent surveillance camera network a key research direction. Match the pedestrian different camera, you can cross the pedestrian track of the camera, the expansion of the monitoring horizon, at the same time can have a clearer grasp of the behavior of pedestrians in the entire surveillance area. Different cameras, different lighting conditions, the pedestrian position and a different scale, shelter, etc., making the pedestrian match challenging. In this document, I study to identify by pedestrian apparent characteristics such as color, texture, and so on.)

2012-07-05 07:18:12下载

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用水线阈值法分割图像：通过对图像进行高帽、低帽变换，并将得到的结果进行相减，可以增强图像，然后利用分水岭算法就行分割！(Water line thresholding segmentation image: The image of flattery, low cap transformation, and will be the results of subtraction, it can enhance image, and then use the watershed segmentation algorithm on the line!)

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