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最快区域种子点填充算法
最快区域种子点填充算法
计算机图形学-The fastest growing regional seed filling algorithm seed points, the fastest growing region filling algorithm in computer graphics
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Segmentation by growing a region from seed point using intensity mean measure
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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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Simple but effective example of "Region Growing" from a single seed point.
The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is
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基于种子点8—邻域的区域生长算法的matlab实现，希望对大家有帮助-Based on the seed point 8- neighborhood region growing algorithm matlab realize, we hope to help
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自适应区域生长算法MATLAB实现。可以较好完成单种子点的区域生长工作-Adaptive region growing algorithm MATLAB. Can better complete a single seed point region growing work
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一个种子为生长点的彩色图像区域生长程序。交互式Matlab实现-A seed for the growing point of color image region growing process. Each type of Matlab
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区域生长matlab程序，需要以交互方式设定初始种子点，具体方法为鼠标单击图像中一点后，按下回车键-Region growing matlab program, you need to interactively set the initial seed point, the specific method for the mouse click the image in mind, press the Enter key
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此代码是基于区域生长的图像分割算法，人工选择种子点然后进行分割-This code is based on region growing image segmentation algorithm, artificial selection of seed points and then divided
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Seed growing region source code in matlab. Best try for beginner.
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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-Automatic seeded region growing code, using MATLAB operation, do not need to select seed points can be automatically selected threshold image segmentation
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通过循环去多个种子点实现基于区域生长的图像分割-Achieve image segmentation based on region growing cycle to go through multiple seed points
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区域生长算法
种子点 (x,y)
J = regiongrowing(I,x,y,t)
I为输入图像
J输出图像
t : 最大密度距离 (缺省为0.2)-Region growing algorithm
Seed point (x, y)
J = regiongrowing (I, x, y, t)
I is the input image
J output image
t: maximum density distance (default
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Segmentation by growing a region seed point using intensity mean measure-Segmentation by growing a region seed point using intensity mean measure
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区域生长法实现图像分割
区域生长的基本思想是将具有相似性质的像素集合起来构成区域。具体是先对每个需要分割的区域找一个种子像素作为生长的起点，然后将种子像素周围领域中与种子像素相同或相似性质的像素（根据某种事先确定生长或相似准则来判定）合并到种子像素所在的区域中。将这些新像素当做新的种子像素继续进行上面的过程，直到再没有满足条件的像素可被包括进来，这样，一个区域就长成了。-The basic idea of the pixels to achieve image s
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具体先对每个需要分割的区域找一个种子像素作为生长起点，然后将种子像素和周围邻域中与种子像素有相同或相似性质的像素（根据某种事先确定的生长或相似准则来判定）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继续上面的过程，直到没有满足条件的像素可被包括进来。这样一个区域就生长成了-Specific to find a seed pixel as a starting point for the growth needs of each region segmentation, and then
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基于种子点8-领域的区域生长算法，程序运行后，会弹出一个包含原图像的窗口，用户可以用鼠标在其中选取一个种子点并下“Enter”键，之后会出现分割结果-Region growing algorithm based on seeds point 8- field, after the program is running, will pop up a window contains the original image, in which the user can use the mouse to
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区域生长法进行图像分割，通过选取合适的种子点，将感兴趣区域分割出来。(The region growing method is used for image segmentation, and the region of interest is segmented by selecting appropriate seed points.)
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