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实现图像分割功能的matlab程序,有效分离指纹前景和背景,方便下面的操作-Image segmentation function of the matlab program, effective separation of the foreground and background, to facilitate the following operations
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图像分割是图像处理的重要步骤, 由于彩色图像含有的信息比灰度图像还多, 因而对彩色图像分割的研
究越来越受到人们的关注. 提出一种新的基于RGB 空间颜色相似性的彩色图像分割方法. 首先比较各种颜色模
型的优势与不足, 然后根据RGB 颜色空间的颜色信息和亮度信息提出一种计算在RGB 空间下颜色相似性的方
法, 再结合提出的图像颜色分量计算方法, 从而形成颜色分类地图, 最后根据颜色分类图进行像素划分, 得到分
割结果. 实验在Matlab 平台上进行, 结果表明: 对于颜色分明
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腐蚀是图像形态学的两个基本操作之一,另外一个是膨胀(Dilate)。二值图像上的腐蚀是腐蚀最典型的运用,但是腐蚀操作同样可以运用于灰度图像。二值图像腐蚀操作最基本的效果是腐蚀图像中前景色区域的边缘。使得前景图像区域变小,前景图像内部的背景区域被放大。-Corrosion is one of the two basic operation of the image morphology, and the other one is the expansion (Dilate). Corrosion
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This program implements the rendering framework that is used in the paper
D. De Silva, W. Fernando, and H. Kodikaraarachchi,
“A NEW MODE SELECTION TECHNIQUE FOR CODING DEPTH MAPS OF 3D VIDEO,” IEEE International Conference on Acoustics, S
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ViBe是一种像素级的背景建模、前景检测算法,该算法主要不同之处是背景模型的更新策略,随机选择需要替换的像素的样本,随机选择邻域像素进行更新。-ViBe is pixel-level background for modeling, foreground detection algorithm, which is the main difference between the background model update strategy, randomly selected sample o
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用libsvm来实现图像分割,测试图片用的亦是25cases和40cases中的那个littleduck测试图片。主体程序思想为25cases中的代码过程,改进之处为可以让用户利用ginput来提取背景的样本点和前景(待分割出来的目标)的样本点作为训练样本,而不需实现指定背景和前景的样本点,也不用额外的小软件来查看某点的RGB值,ginput即可。-With libsvm to image segmentation, test picture is also used in 25cases an
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使用opencv进行Crabcut图像分割,先定义分割矩形区域,然后完成前景与背景图像分离-Opencv for image segmentation using Crabcut, to define rectangular areas divided, and complete separation of foreground and background image
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一个新闻后台及前台控制 一个新闻后台及前台控制-A news background and foreground control
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单高斯模型视频背景前景提取,,内附源码、测试视频、测试结果等-Single Gaussian model background foreground extraction ,, enclosing video source, the video test, test results, etc.
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基于帧间差分的单目标/多目标的实时跟踪程序,基于MATLAB编写。希望对刚学习MATLAB的同学有所帮助-This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2014 The MathWorks, Inc.
Detec
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程序用MATLAB 打开 可以分割图像的前景与背景 可以算出其比例(The foreground and background of the segmented image can be calculated)
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opencv,vs2010 利用混合高斯模型,得到运动前景,与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)
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文件实现了目标检测,可以很清楚的区分前景和背景。(The file implements the target detection, which can distinguish the foreground and the background clearly.)
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opencv 调用,视频前景目标分割,动目标提取,对静态视频背景进行分割,提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
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能够初步实现静态背景下的前景提取,能够为初学者提供一定的借鉴。(It can realize foreground extraction in static background,
It can provide some reference for beginners.)
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平均背景法, 动静态视频前景目标提取, 输出mask, opencv(Average background method, dynamic and static video foreground target extraction, output mask, opencv)
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混合高斯模型,用于背景变化无抖动的目标的前景提取(The hybrid Gauss model is used for foreground extraction of background invariant targets without jitter)
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用于车辆检测背景建模 通过混合高斯将前景与北京分离(Vehicle tracking background modeling is used to extract foreground)
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帧间差MATLAB提取静态背景的前景信息(Frame difference MATLAB extracts foreground information from static background)
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用高斯模型算法来处理视频,提取前景信息,适合动态背景(Gauss model algorithm is used to process video and extract foreground information, which is suitable for dynamic background)
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