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[GUI DevelopCtrlFont

Description: 该源码演示了如下内容: 1、单独地改变某个控件如静态文本的字体。 2、如何改变控件的背景、前景色-demonstration of the source are as follows : a single change to a certain controls as static text fonts. Two, how to change the control's background, foreground color
Platform: | Size: 33617 | Author: 蒋小平 | Hits:

[Other resourceadaptive_background_substraction

Description: for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCamera shift detection and suppression moduleDetect of small camera shift, and suppress the false alarms due to themBlob extraction moduleExtract connected foreground and theft/left pixels as blobsTheft/left baggage distinguish moduleDistinguish theft blobs and left baggage blobs
Platform: | Size: 20244 | Author: heavyseatree | Hits:

[Other resourcecvuse

Description: 使用opencv,将一个视频文件分割成多张图片。 特点:按帧提取,每帧保存为多张图片。 保存时,原来的格式是全彩的,同时转化并保存全彩图片对应的黑白图片和二值化图片。这三类图片分别存放在默认目录的video background foreground中。默认的视频文件名为默认目录下的ci.avi
Platform: | Size: 4880281 | Author: kingbirdji | Hits:

[GUI DevelopCtrlFont

Description: 该源码演示了如下内容: 1、单独地改变某个控件如静态文本的字体。 2、如何改变控件的背景、前景色-demonstration of the source are as follows : a single change to a certain controls as static text fonts. Two, how to change the control's background, foreground color
Platform: | Size: 33792 | Author: 蒋小平 | Hits:

[Technology Managementpossion_matting

Description: 关于在图像融合过程中,区分前景物体和背景图像的相关论文 -on the image fusion process, the distinction between foreground and background images related papers
Platform: | Size: 471040 | Author: 肖肖 | Hits:

[Special Effectsadaptivethreshold

Description: ADAPTIVETHRESHOLD An adaptive thresholding algorithm that seperates the foreground from the background with nonuniform illumination-ADAPTIVETHRESHOLD An adaptive threshold ing algorithm that separates the foreground fr om the background with nonuniform illuminatio n
Platform: | Size: 147456 | Author: | Hits:

[Special Effectsbg_subtraction_cmd

Description: 本代码是Foreground-Background Segmentation of Video Sequences的配套程序,利用KDE算法对avi进行处理,从而提取前景和背景,在windows, Visual C++下测试成功-This code is Foreground-Background Segmentation of Video Sequences matching procedures, the use of KDE algorithm to deal with avi, thereby extracting the prospects and the background, in windows, Visual C++ Test successful
Platform: | Size: 53248 | Author: 辜嘉 | Hits:

[Special Effectsadaptivethresholdandtestprogram

Description: 一个自适应阈值处理程序,是图像分割领域难题的一个处理方向,该方法效果还不错An adaptive thresholding algorithm that seperates the background with nonuniform illumination. %foreground from the background with nonuniform illumination.-An adaptive threshold process, the field of image segmentation is a difficult problem to deal with the direction of the effect of the method was not bad An adaptive thresholding algorithm that seperates the background with nonuniform illumination. Foreground from the background with nonuniform illumination.
Platform: | Size: 147456 | Author: yemaoqiu | Hits:

[DSP programadaptive_background_substraction

Description: for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCamera shift detection and suppression moduleDetect of small camera shift, and suppress the false alarms due to themBlob extraction moduleExtract connected foreground and theft/left pixels as blobsTheft/left baggage distinguish moduleDistinguish theft blobs and left baggage blobs
Platform: | Size: 20480 | Author: | Hits:

[Graph programOTSU(3)

Description: 大津法由大津于1979年提出,对图像Image,记t为前景与背景的分割阈值,前景点数占图像比例为w0, 平均灰度为u0;背景点数占图像比例为w1,平均灰度为u1-Otsu method by Otsu in 1979 suggested that the image Image, remember t for the foreground and background segmentation threshold, the prospect of accounting for the image ratio of points w0, the average gray level for u0 background image representing the ratio of points w1, the average gray level for u1
Platform: | Size: 1024 | Author: wangyi | Hits:

[.netcvuse

Description: 使用opencv,将一个视频文件分割成多张图片。 特点:按帧提取,每帧保存为多张图片。 保存时,原来的格式是全彩的,同时转化并保存全彩图片对应的黑白图片和二值化图片。这三类图片分别存放在默认目录的video background foreground中。默认的视频文件名为默认目录下的ci.avi-Using opencv, a video file will be split into multiple images. Features: by frame extraction, each frame is saved as multiple pictures. Preserved when the original format is full color, at the same time transforming and save full-color picture black and white pictures and the corresponding binary image. These three types of images were stored in the default directory in the video background foreground. The default video file name is the default directory ci.avi
Platform: | Size: 6206464 | Author: kingbirdji | Hits:

[Special Effectsregionbased_seg_demo

Description: This code implements the well-known Chan-Vese segmentation algorithm from the paper "Active Contours Without Edges." This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions. The technique is very robust to initialization and gives very nice results when there is a difference between the foreground and background means. This code uses active contours and level sets in the implementation. It could also serve as a good framework for implementing all kinds of region-based active contour energies. 1.) Download 2.) Unzip 3.) Run >>region_seg_demo See this site for experiments, videos, and more information on segmentation, active contours, and level sets: [ http://www.shawnlankton.com/2007/05/active-contours/ ]
Platform: | Size: 10240 | Author: hiyisf | Hits:

[Otherbgsub

Description: Determine the background of an image, llowing extract foreground objects
Platform: | Size: 55296 | Author: franco | Hits:

[matlabseg

Description: Image Segmentation (Foreground separated from Background).
Platform: | Size: 19456 | Author: tiger | Hits:

[Multimedia programMotionSegmentation

Description: This package contains m-files for the segmentation of a moving foreground from video with a static background
Platform: | Size: 23552 | Author: Adi Febri | Hits:

[OthercvGaussianBGModelDemo

Description: Demo of the background/foreground detection algorithm
Platform: | Size: 1024 | Author: karthick | Hits:

[Special Effectsotsu-method

Description: 两次利用大津法对图像进行分割,将前景与背景,白色区与背景分割开,并二值化。-Otsu method twice using image segmentation, the foreground and background, white background area and separate, and binary.
Platform: | Size: 2048 | Author: budongwei | Hits:

[Special EffectsLow-complexity-background-subtraction-using-frame

Description: Tracking w/ blob detection, morphological operation (Togeather) frames = {avi.cdata} uses the cdata from the video file fg = extractForeground(frames) do foreground extraction cmap = colormap(gray) for i = 1:length(fg) temp0{i} = edge(fg{i}, canny , 0.99) + fg{i} temp2 = temp0{i} temp2 = cat(3,temp2,temp2,temp2) fgs = rgb2gray(temp2) sedisk = strel( square ,10) fgs = imclose(fgs, sedisk) fgs = imfill(fgs, holes ) RLL = bwlabel(fgs) stats = regionprops(RLL, basic , Centroid ) fig = figure(1),imshow(RLL) hold on for n = 1:length(stats) if(stats(n).Area > 100) plot(stats(n).Centroid(1), stats(n).Centroid(2), r* ) end end hold o-Tracking w/ blob detection, morphological operation (Togeather) frames = {avi.cdata} uses the cdata from the video file fg = extractForeground(frames) do foreground extraction cmap = colormap(gray) for i = 1:length(fg) temp0{i} = edge(fg{i}, canny , 0.99) + fg{i} temp2 = temp0{i} temp2 = cat(3,temp2,temp2,temp2) fgs = rgb2gray(temp2) sedisk = strel( square ,10) fgs = imclose(fgs, sedisk) fgs = imfill(fgs, holes ) RLL = bwlabel(fgs) stats = regionprops(RLL, basic , Centroid ) fig = figure(1),imshow(RLL) hold on for n = 1:length(stats) if(stats(n).Area > 100) plot(stats(n).Centroid(1), stats(n).Centroid(2), r* ) end end hold off
Platform: | Size: 17408 | Author: sivasankar | Hits:

[Special EffectsBinaryzation

Description: 迭代法是基于逼近的思想,逼近的目标是使得:前景和背景的平均灰度值的平均值即为阈值。该方法的原理是:如果用某一阈值分割出的图像,其两部分平均值的中值,正好等于该阈值,那么这个阈值就是所求的阈值。-Iterative method is based on the approximation of the idea of ​ ​ approaching the goal is to make: the foreground and background is the average of the average gray value threshold. The principle is: if a threshold image segmentation, the average value of two parts, exactly equal to the threshold, then the threshold is the threshold requirements.
Platform: | Size: 14336 | Author: 坏蛋 | Hits:

[Special Effectsbackground

Description: 前景提取四种方法,好学易懂,适合初学者!(Foreground extraction)
Platform: | Size: 27525120 | Author: huangshik | Hits:
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