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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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Matlab程序，对图像进行分割，运用贝叶斯最小错误率的方法,Matlab program, image segmentation, the minimum error rate using Bayesian methods
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这个代码是基于贝叶斯的阈值分割,很有用的-This code is based on the Bayesian threshold segmentation, very useful
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MATLAB基于贝叶斯的RGB的彩色图像分割-MATLAB Based on Bayesian Color Image Segmentation in RGB
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分割是在MRI analysis.We的基本问题之一，同时考虑了多种MR图像分割，其中，例如，可能是一个系列的问题经过一段时间的扫描相同的组织（的2D/3D）图像，图像的数量，或不同的切片图像的对称部分。 MR图像的多是分割份额常见的结构信息，因此他们可以协助彼此分割的程序。我们提出了一个贝叶斯共同分割算法在共享的信息整个图像是通过利用马尔可夫随机场前，和吉布斯采样后采样是有效的聘用。由于我们的共同拉动分割算法考虑到所有的图像信息的同时，它提供比个人更准确和坚实的结果分割，如支持从模拟和实际结果
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基于贝叶斯分类算法的图像阈值分割程序，MATLAB正常-Image segmentation based on Bayesian
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阈值分割迭代法处理图像 基于贝叶斯分类算法的图像阈值分割 -Threshold segmentation iterative method to deal with image Bayesian classification algorithm based on image threshold segmentation
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贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。
k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
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CVPR2012_oral
Weakly Supervised Structured Output Learning for Semantic Segmentation-We address the problem of weakly supervised semantic
segmentation. The training images are labeled only by the
classes they contain, not by their location in t
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基于 系数分布统计特性，结合隐马尔可夫树模型和贝叶斯准则提出一种新的图像分割算法
-Based on statistical properties of the distribution coefficient combined with hidden Markov tree model and Bayesian guidelines propose a new image
segmentation algorithm
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图像分割 自适应阈值法，otsu法，区域生长法，最大熵法，贝叶斯法，kMeans法，MeanShift法。-Adaptive threshold image segmentation method, otsu method, region growing method, the maximum entropy method, Bayesian method, kMeans law, MeanShift law.
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一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and
tracking from traffic video using Gaussian mixture models and
Bayesian estimation. In particular, the system provides robust
foreground segmentation of moving vehicles
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Wepropose a novel method for 3D image segmentation, where a Bayesian formulation, based on joint prior knowledge of the object shape and the image gray levels(In addition, we evaluate the performance of the level set representation of the object shap
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图像分割是图像处理和计算机视觉的重要研究领域。通过贝叶斯算法应用于图像分割，利用其较好的寻优能力搜索到图像的最佳阈值，达到较好的图像分割效果，并拓展了算法的应用领域．针对图像在动态阈值选取难的问题(Image segmentation is an important research field of image processing and computer vision. The Bayesian algorithm is applied to image segmentation, the
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基于贝叶斯的图像分割，使用贝叶斯决策对图像进行分割(Based on Bayesian image segmentation, use Bayesian decision to segment the image)
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