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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
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Computes \"Connected Components\" using Tarjan s Union-Find algorithm the result is returned in the same buffer as gray_level image with values equal to the label of the component.
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The random walker algorithm was introduced in the paper:
Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Compute
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Simple image 2-pass labeling algorithm, included warshall algorithm to fill the equivalent matrix.
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A Qt4 and OpenCV program to label a image at pixel level, It has inbuild segmentation algorithm included, with a bar for varying parameters.
Useful tool for annotating a image.
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GrowCut algorithm from "GrowCut" - Interactive Multi-Label N-D Image Segmentation：可用于目标提取的分割算法，包括算法原文
-GrowCut algorithm from " GrowCut" - Interactive Multi-Label ND Image Segmentation: segmentation can be used for object extraction algori
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采用Graph Cut算法进行multiple-label的图像分割，算法很完整，非常适合初学者以及开发人员参考-multiple-label image segmentation using Graph Cut based algorithm, suitable for beginners and developers
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复杂杂波背景下，海面红外图像中舰船目标检测的关键是如何降低虚警、检测出真正的
目标。为了实现这个目标，首先利用Haar小波函数进行小波变换，对图像进行预处理；然后进行恒
虚警检测（CFAR）；第三步采用行程法对检测的目标进行标记；最后采用管道滤波法剔出虚假目标，
检测出真正的目标。经仿真实验证明，此方法能有效地降低虚警，在复杂杂波背景中检测出目标。
-The key of ship detection in sea infrared image with complex clut
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基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
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在matlab开发环境中，对于图像采用贴便签算法识别出不同连通域后，对该图像的不同连通域索引不同的颜色，显示出标签的效果！-In the Matlab development environment for the images posted notes algorithm to identify different connected domains, the different colors of the image connected domain index, showing the e
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The random walker algorithm was introduced in the paper:
Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Compute
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为了减少alpha-expansion算法的计算量，本文在标号为alpha的像素向其它像素膨胀的过程中，先隔离非alpha类间的联系，而只考虑alpha类与非alpha类之间的关系，从而避免alpha-expansion算法需要构造辅助结点的问题，减少了s/t图中边的数目，提高了算法的计算效率。因放松了非alpha类间的关系对alpha膨胀的约束，使得算法可以更容易得跳出能量函数的局部极小点而获得更优的分割结果。-In order to reduce alpha- expansion algor
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“GrowCut” - Interactive Multi-Label N-D Image Segmentation By Cellular
Automata
Abstract
In this project we describe a novel algorithm for interactive multilabel
segmentation of N-dimensional images. Given a small number
of user-labelled
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适用于matlab的通过标记的分水岭算法对图像分割进行处理的算法-Matlab by marking a watershed algorithm applied to the processed image segmentation algorithm
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input:
param: parameters of the LMGE algorithm
param.mu, param.alpha, param.beta are regularization parameters.
param.p: dimension of shared subspace
param.k: number of nearest neighbors for Laplacian matrix
X: input data
Y: ground
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Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extens
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The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. Here similar looking pixels are grouped together for efficiency of further processing. In segmentation a l
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This a beta version of the superpixel code. It hasn t been
thoroughly tested on different architectures. It was tested on
a Linux system with Matlab 7.1, with gcc and g++ compilers.
-The random walker algorithm was introduced in the paper:
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在这个项目中，我们的目标是建立一个识别和大小231x231图像呈现对象分类系统。我们得到了一组训练图像，每四个标签之一：1飞机；汽车2；3马，否则。我们提供了两个特点：一是方向梯度直方图（HOG），其尺寸为5408；另一个是overfeat ImageNet美国有线电视新闻网的特点，其尺寸37000。关于测试图像，我们只给出了每个图像的功能，没有标签，结果判断由平地机。我们的目标是提供二进制和多个预测。平衡错误率（BER）是我们的性能评估。为了解决这个问题，我们首先减少PCA的问题的维数，处理不
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