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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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图形分割 边缘检测 轮廓提取 边缘跟踪 种子填充 区域生长等功能-Graphic segmentation edge detection contour extraction of seed filling edge tracking features such as region growing
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单种子点区域生长图像分割算法：基本处理方法是 以一组种子点开始来行程生长区域，即将哪些预定义属性类似于种子的邻域像素附加到每个种子上-Single seed point region growing image segmentation algorithms: the basic processing method is based on a set of seed points, started to trip the growth region, which is about predefi
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区域生长法进行图像分割的c++程序，以一个种子点进行区域生长-Region growing method of image segmentation c++ Procedures to a seed point for regional growth
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区域生长法获取图像边界 必须有种子 可以有很多方法 这里直接鼠标点击-Region growing method to obtain the image the border must have a lot of methods of seed can have a direct mouse click here
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图像处理中的区域生长算法，利用若干种子点的选取进行区域生长。-Image processing region growing algorithm, using several seed points selected for regional growth.
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基于分水岭自动选取种子的区域生长来进行彩色图像分割-Automatically selected based on the watershed to the seed region growing for color image segmentation
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region growing:
The fundamental drawback of histogram-based region detection is that histograms
provide no spatial information (only the distribution of gray levels).
- Region-growing approaches exploit the important fact that pixels which are
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采用种子区域生长（seeded region growing）算法对灰度图像和彩色图像进行分割-The seed region growing (seeded region growing) algorithm for gray image and color image segmentation
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区域生长分割 matlab 手动点击设定种子点-Click on region growing segmentation matlab manual seed point set
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区域生长（region growing）是指将成组的像素或区域发展成更大区域的过程。从种子点的集合开始，从这些点的区域增长是通过将与每个种子点有相似属性像强度、灰度级、纹理颜色等的相邻像素合并到此区域。它是一个迭代的过程，这里每个种子像素点都迭代生长，直到处理过每个像素，因此形成了不同的区域，这些区域它们的边界通过闭合的多边形定义。-Region growing (region growing) is the pixel will become the group into a larger r
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egion growing approach is the opposite of the split and merge approach:
An initial set of small areas are iteratively merged according to similarity constraints.
Start by choosing an arbitrary seed pixel and compare it with neighbouring pi
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对图像进行预处理，然后进行经典的阈值分割，形态学分割以及种子区域生长。-Preprocess the image, and then the classic threshold segmentation, morphological segmentation as well as seed region growing.
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基于区域生长法的图像分割的matlab源代码，可参照两个种子点设计多个种子点-This code is used to segment picture based on region growing method. More seed points can be designed referring to this code.
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自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割！-The automatic seed region growing code, run, do not have to select seed point can automatically select the threshold image segmentation using MATLAB
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matlab的基于种子的区域生长处理，源码-matlab region grow seed growing matlab regiongrow region growing using matlab regiongrow by seed regiongr
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基于种子点的区域增长算法 Matlab -Matlab seed region growing
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Segmentation by growing a region from seed point using intensity mean measure.Simple but effective example of "Region Growing" from a single seed point.
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三种种子区域生长方法Three kinds of seed region growing method-Three kinds of seed region growing method
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基于边缘检测和自动种子区域生长的图像分割算法-Image segmentation algorithm based on edge detection and automatic seed region growing
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