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在最优阈值分割的基础上,用自动区域生长去除气管/支气管区域,对边界跟踪法进行改进以快速
去除背景干扰和获得肺部边界,最后进行肺部边界修补得到完整的肺部图像。算法采用迭代法寻找最
优阈值解决了阈值选取的敏感性问题,提出了基于前层图像中气管/支气管位置的气管/支气管提取方
法,避免了种子点的人工选取,基于前次搜索方向改进了八邻域搜索方法来提高边界跟踪的速度。
-In the optimal threshold segmentation based on region growing
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Region based Active Contour的Matlab实现代码。很经典的方法-Region based Active Contour of Matlab code. Classic method
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2008年IEEE TRANSACTION关于活动轮廓的经典文献。活动轮廓在图像分割和计算机视觉中有广泛应用，本文提出局部化基于区域的活动轮廓。效果很好。-2008 IEEE TRANSACTION active contour about classic literature. Active contour in image segmentation and computer vision has extensive application of this paper, local regio
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基于区域生长法的MATLAB图像分割程序 -Region growing method based on the MATLAB image segmentation procedure based on the region growing segmentation of the MATLAB program
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This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent
brightness and texture. Natural images contain both textured and untextured regions, so the cues of contour and
texture differences are exploited
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基于可变区域能量最小化拟合的图像分割方法的图像分割-Variable region-based energy minimization method of fitting the image segmentation of the image segmentation
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Region Based Active Contour Segmentation：基于活动轮廓的图像分割算法，ＭＡＴＬＡＢ代码，可用于目标提取，包括实验图片-Region Based Active Contour Segmentation: Active Contour-based image segmentation algorithm, MATLAB code, and can be used for object extraction, including the experimental
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移动机器人全覆盖路径规划优化方法。从全局优化的角度出发，提出一种基于区域分割的环境建模方法-Full coverage of mobile robot path planning optimization method. From the global optimization point of view, presents a region-based segmentation of environmental modeling
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基于边缘检测和区域生长的自然彩色图像分割源码-Based on edge detection and region growing source of natural color image segmentation
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In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to
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实现了区域合并的图像分割的经典方法，是Interactive Image Segmentation by Maximal Similarity based Region Merging 论文的源码，可以好好研究-Regional integration to achieve the classic method of image segmentation is the Interactive Image Segmentation by Maximal Similarity based Regio
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文中的方法是把图像分块，小波分解得到低频分量、高频分量，然后计算每一块的对比度，把图像块划分为清晰块、模糊块，把清晰块和模糊块相邻的区域定义为边界区域，融合时，直接选取清晰块作为融合后的相应块，对于边界区域，在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then
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a variational region based image segmentation using matlab. efficient and simple
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基于图论的图像分割，使用区域之间和区域内部进行比较的准则，对于风景图片效果不错。-Graph-based image segmentation, using the region based comparison criteria, good for scene images.
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本文主要介绍了图像分割的两大类方法基于边缘的分割方法和基于区域的分割方法及其各自存在的问题和最新进展同时简单介绍了物理的分割方法和图像分割评价最后指出了图像分割技术的发展趋势-In this paper, two types of image segmentation method segmentation method based on the edge of the region-based segmentation method and their respective problems
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提出了一种新的基于区域的图像检索方法。与传统的基于区域的检索方法相比，论文从组成目标对象的基本结构角度出发分割图像，利用少量色彩等级更易描述对象主要构成的特性提取一组能够描述对象基本组成的区域序列。采用这些区域列的面积作为图像特征，用于图像检索。-A new region-based image retrieval. Traditional region-based retrieval methods, papers from the composition of the basic struc
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图像分割
主要内容：间断检测 边缘连接和边界检测 门限处理 基于区域的分割 基于形态学分水岭的分割-Main image segmentation: intermittent connection edge detection and edge detection threshold region-based segmentation process based on morphological watershed segmentation
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transition region-based segmentation using local variant
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Transition region based single and multiple object segmentation of gray scale images
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matlab的图像分割，主要是阈值处理和基于区域的分割的方法和实现。-MATLAB image segmentation, mainly threshold processing and region based segmentation method and Implementation.
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