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Description: The Swendsen-Wang Cuts algorithm is used to label atomic regions (superpixels) based on their intensity patterns using generative models in a Bayesian framework. The prior is based on areas of connected components, which provides a clean segmentation result. A performance comparison of the Swendsen-Wang Cuts algorithm with the Gibbs sampler shows that our algorithm is 400 times faster.
A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang for Image Analysis. J. Comp. Graph. Stat. 16, No 4, 2007 (pdf)
A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities, PAMI, 27, August 2005 (pdf)
A. Barbu, S.C. Zhu. Graph Partition By Swendsen-Wang Cuts, ICCV 2003 (pdf)
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Author: bevin |
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Size: 47104 |
Author: tigerking |
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Description: In this code it gets the segmented image as the input and finds the superpixels. It is useful if someone has a segemnted image and wants to work with each segment. Forexample extract some features from each segment.
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Size: 3449856 |
Author: vida |
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Description: Segmentation (image processing)
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In computer vision, segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels) (Also known as superpixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze
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Size: 25600 |
Author: joko |
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Description: 基于graph cuts 的super pixels 实现-superpixels based on graph cuts
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Size: 51200 |
Author: liuwei |
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Description: 采用超像素进行分割图像，利用到了超像素和Ncut的方法，采用了c与maltab混合编程。-Code to compute superpixels. use cncut and superpixel code for segmentation.
Mex program c and matlab
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Size: 56320 |
Author: hzw |
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Description: VS2010编写。
超像素分割，包括源码、EXE可执行程序、测试图像、使用说明等。
代码完全可执行，不需引用其它库，不需进行其它设置。
超像素分割一般对图像分割会形成过分割，所以可将其作为一般图像分割前的预分割处理，可用于模式识别等领域，当然也可用于医学图像分割领域。-VS2010 writing. Pixel segmentation, including source code, EXE executable program, test images, use instructions. The code is fully executable, without reference to other libraries, without additional settings. The super-pixel segmentation is generally formed of image segmentation will split, may as before division of the general image of the pre-division processing, can be used in the field of pattern recognition, such as, of course, can also be used in the field of medical image segmentation.
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Size: 1552384 |
Author: 张雷 |
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Description: 一个非常有用的超像素算法，用于图像分割,文件夹包含文章,采用matlab和c混编-a very useful superpixels algorithm，can be used for image segmentation,the file contatins paper,the matlab and c are mixed for exeution
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Size: 6032384 |
Author: eric |
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Description: 一个非常有用的基于图的超像素算法，用于图像分割，使用时请添加目录-a very useful superpixels algithn based on geraph theory, it can be used for image segmentation, please add file catalogue when used
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Size: 7346176 |
Author: eric |
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Description: 超像素块算法，已经试过绝对好用，sp_demo.m是主程序，用之前需要将c++和matlab建立联系-Super-pixel block algorithm' ve tried absolutely easy to use, sp_demo.m main program before using the c++ and matlab establish contact
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Size: 80896 |
Author: 商世博 |
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Description: 2012 CVPR 文章：Segmentation Using Superpixels A Bipartite Graph Partitioning Approach对应的代码-2012 CVPR paper：Segmentation Using Superpixels A Bipartite Graph Partitioning Approach
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Size: 1439744 |
Author: X Li |
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Description: The VLFeat open source library ，可以用来进行HOG,SIFT等，这是最新版的VLFeat-The VLFeat open source library implements popular computer vision algorithms including HOG, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, and quick shift. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.17.
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Size: 14119936 |
Author: 飞翔 |
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Description: 在計算機視覺領域，圖像分割（Segmentation）指的是將數字圖像細分為多個圖像子區域（像素的集合）（也被稱作超像素）的過程。圖像分割的目的是簡化或改變圖像的表示形式，使得圖像更容易理解和分析。圖像分割通常用於定點陣圖像中的物體和邊界（線，曲線等）。更精確的，圖像分割是對圖像中的每個像素加標籤的一個過程，這一過程使得具有相同標籤的像素具有某種共同視覺特性。-In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as superpixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.[1] Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics.
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Size: 15314944 |
Author: 張志揚 |
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Description: 使用Flood Fill方法将图片分割为超像素-Segment the image into superpixels
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Size: 1024 |
Author: YoungBoy |
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Description: SLIC 超像素分割算法，分割速度快，效果好，使用c++实现，内含源码和相应的软件，只要一输入图像就能实现分割-SLIC super-pixel segmentation algorithm, split fast, good effect, use c++ achieve, containing the source code and the corresponding software, as long as the input image segmentation can be achieved
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Size: 16063488 |
Author: 杨光 |
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Description: The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local featurexs extraction and matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixes, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.19.
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Size: 3018752 |
Author: zhaiyunlong |
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Description: 一个图像分割算法-normalized cuts algorithm，生成超像素-superpixels-An image segmentation algorithm-normalized cuts algorithm, generates superpixels
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Size: 111616 |
Author: 刘小娟 |
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Description: 过分割算法，快速实现图像的超像素生成，生成效果比较好，可以供大家参考-SLIC agrithrom ，for superpixels producted
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Size: 973824 |
Author: lionel |
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Description: 这是一个非常好的超像素的文章，非常适合初学者使用。-This is a very good article superpixels, very suitable for beginners to use.
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Size: 3097600 |
Author: 吴伟林 |
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Description: 图像分割：关于相位一致性；超像素分割；图像点匹配等-Image segmentation: For phase coherence image point matching superpixels division
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Size: 8793088 |
Author: zh |
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