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:
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:
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:
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:
Description: 介绍一种应用于视频运动检测中前景和背景建模分割的方法-proposes a novel method for detection and segmentation
of foreground objects from a video which contains
both stationary and moving background objects and undergoes
both gradual and sudden “once-off” changes. Platform: |
Size: 227328 |
Author:arbi |
Hits:
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:
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:
Description: 基于区域融合的半监督的图像分割算法。首先在背景和前景手动设置初始分割标记，在迭代过程中不断通过区域融合操作获得最大相似度的区域，从而实现目标分割。-Regional integration based on semi-supervised image segmentation. First of all, in the background and foreground segmentation manually set the initial marking, in the iteration process continued operation through regional integration greatest similarity region, to achieve object segmentation. Platform: |
Size: 840704 |
Author:史思琦 |
Hits:
Description: 利用OPENCV來實現高斯混合模型的背景相減，可看到當前影像、前景及背景-OPENCV to achieve using GMM background subtraction, we can see the current image, foreground and background Platform: |
Size: 1024 |
Author:justin |
Hits:
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:
Description: Real-time foreground–background segmentation using codebook model
了解码书进行图像处理(背景与前景)的原理，可以从该文章中获得有益的参考价值-Real-time foreground–background segmentation using codebook model
A practical paper for knowing of image processing theory(about foreground-background) by codebook Platform: |
Size: 1090560 |
Author:赵河 |
Hits:
Description: 使用背景建模法和时间差分法的前景分割，使用找轮廓的方式显示移动物体的位置-Background modeling using time-difference method and the prospect of partition, use the display profile to find the position of moving objects Platform: |
Size: 4370432 |
Author:fengzhanxiang |
Hits:
Description: 分五个部分讲解：1.计算分割函数。图像中较暗的区域是要分割的对象。
2.计算前景标志。这些是每个对象内部连接的斑点像素。
3.计算背景标志。这些是不属于任何对象的像素。
4.修改分割函数，使其仅在前景和后景标记位置有极小值。
5.对修改后的分割函数做分水岭变换计算。-Divided into five sections explain: (1) Calculate the partition function. The dark areas in the image is the object you want to split.
(2) Calculate the prospect signs. These are spots connected pixels within each object.
(3) calculate the background logo. These pixels do not belong to any object.
(4) Modify the partition function, making only the minimum marker position in the foreground and a rear view.
5 watershed transform the modified partition function calculation. Platform: |
Size: 2497536 |
Author:吴晓辰 |
Hits:
Description: 光流法之一：codebook BGS代码，参考论文Real-time foreground–background segmentation using codebook model （Kyungnam Kima,, Thanarat H. Chalidabhongseb, David Harwooda, Larry Davis），进行了简化。
实验效果：似乎噪声点太多了。-One of the optical flow method: the BGS codebook code, reference papers Real-time foreground-background a segmentation a using codebook the model (Kyungnam Kima, Thanarat of H. Chalidabhongseb David Harwooda, Larry Davis), carried out to simplify.
Experimental results: it seems that the noise point too much. Platform: |
Size: 3072 |
Author:宁静 |
Hits:
Description: 背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联，输出目标轨迹。
MeanShift运动目标跟踪 matlab程序
1.截取跟踪目标矩阵rect
2.求取跟踪目标的加权直方图hist1
3.读取视频序列中的一帧， 先随机取一块与rect等大的矩形，计算加权直方图hist2。
4.计算两者比重函数，如果后者差距过大， 更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。
这两种算法为处理图像跟踪的基本方法
-Background modeling and foreground segmentation the extracted moving vehicles. Pro associated output and the target locus. Target tracking matlab program MeanShift movement. Interception tracking the target matrix rect strike a tracking target weighted histogram hist1 3. Reads a video sequence, randomly take a with the rect large rectangular, calculate the weighted histogram hist2. 4. Calculate both the proportion of function, if the latter gap is too large to update the new center of the matrix Y conducted the iteration (MeanShift is a variable step size can be rapidly approaching the peak of the probability density) until certain conditions to stop. The basic method of these two algorithms for processing the image tracking Platform: |
Size: 240640 |
Author:l刘翔 |
Hits:
Search - background foreground segmentation