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改进的T- Snake 算法首先在分水岭法中, 对相邻区域以其像素数、灰度均值和灰度方差定义距离, 并据其在图像上建立新的连通图, 以对图像过度分割而产生的一些过小区域合并 其次, 在模型跨边缘时, 利用已分割断层图像中模型内部区域的统计特征, 用区域生长法获取内点并重新参数化模型, 使模型不再跨边缘, 以保证模型形变到正确的边缘-Improved T-Snake algorithm first law in the watershed, the number of pixels in its
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基于图像区域生长的方法之一 交互式分割法-Image-based region growing methods: interactive segmentation method
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region growing: Perform segmentation by region grow1ng.
[G, NR, SI, TI] = REGIONGROW(F, SR, T). Scan be an array (the same size as F) with a 1 at the coord1nates of every seed point and 0s elsewhere. S can also be a single seed value. Similarly, T
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基于区域增长法的模型切割 很适于初学者对opengl和三维模型的学习-Model-based region growing method is suitable for beginners cutting and three-dimensional model of the learning opengl
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This the region growing segmentation algrithm for gray image, user must add a seed point. -This is the region growing segmentation algrithm for gray image, user must add a seed point.
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基于区域增长等算法对三维模型进行分割，实现了一篇文献中的三维模型分割算法-Region growing algorithm based on three-dimensional model such as segmentation, to achieve a three-dimensional model of the literature segmentation
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This matlab code implements region growing image segmentation.
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segmentation survey table for region growing, clustering etc.
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Image segmentation based on fusion of edge information and region growing with the use of Markov random fields
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综合介绍了几种阈值分割，如迭代阈值法，区域增长法等-Comprehensive introduced several threshold segmentation, such as iterative thresholding, region growing method
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此文件中包含图像分割的程序，其中有自适应图像分割，阈值分割，基于区域生长法的图像分割，最大方差法计算分割门限的程序，而且用的是matlab语言-This file contains the image segmentation procedure, which has adaptive image segmentation, threshold segmentation, region growing method based on the image segmentation, maximum
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用形态学方法和区域增长法进行MRI脑肿瘤图像分割-By morphology and region growing method for MRI brain tumor segmentation
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Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing
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Automatic Image Segmentation by Integrating Color-Edge Extraction and Seeded Region Growing
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matlab实现图像分割源代码，边缘的分割方法：检测图像点边缘，线边缘
区域的分割方法：阈值分割技术、区域生长技术、分水岭分割方法
-matlab image segmentation source code, the split method: edge detection image point edge, line edge region segmentation method: threshold segmentation, region growing technology,
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基于自动种子选择的区域生长法，克服了传统区域法的很多缺点-Region growing method based on automatic seed selection, to overcome the many shortcomings of the traditional regional law
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Cutpicture(form)做的是直方图统计：
第一步：读入图片，并将彩色图片用公式转化为灰度图像。
第二步：用区域生长法将图片分块并对每一块做直方图统计，用广度优先搜索完成，子程序是int flood_fill()。返回值是区域内的点的数量。判断是否属于同一块区域的条件是前面搜索得到的灰度平均值是否大于给定阈值（即threshold，由用户输入决定）。
第三步：任意两块区域对区域直方图的每个色阶比例的差的绝对值求和，若和小于阈值（即threshold2，由用户输入决定）则合并两
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图像分解算法，四种方法可选，包括threshold, K means threshold, region growing以及gradient based segmentation-Image decomposition algorithm, four methods available, including the threshold, K means threshold, region growing and gradient based segmentation
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区域生长算法被证实是一个有效的图像分割方法。区域生长的基本方法是从被分割对象
里作为种子区域(通常是一个或多个像素)的一个区域开始，在种子区域的相邻像素寻找与种
子像素有相同或相似性质的像素，并将这些像素合并到种子像素所在的区域中。将这些新像
素当作新的种子区域继续进行上述过程。区域生长算法主要取决于用来选择确定为种子区域
像素的标准、用来确定相邻像素的连通性类型和用来访问相邻像素的策略。-Region growing algorithms have proven to be a
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程序是实现交通标志图像的分割GUI界面，采用分割的方法主要有Ostu，阈值迭代选择法及区域生长法。-Program is to achieve a traffic sign image segmentation GUI interface, the mainly segmentation methods are Ostu, iterative threshold selection method and region growing method.
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