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watershed_example

于 2020-04-08 发布
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说明:  分水岭算法是一种图像区域分割法,在分割的过程中,它会把跟临近像素间的相似性作为重要的参考依据,从而将在空间位置上相近并且灰度值相近的像素点互相连接起来构成一个封闭的轮廓,封闭性是分水岭算法的一个重要特征。本示例适用于二维和三维图像,计算分水岭变换并将结果标签矩阵显示为RGB图像。 分水岭算法是一种图像区域分割法,在分割的过程中,它会把跟临近像素间的相似性作为重要的参考依据,从而将在空间位置上相近并且灰度值相近的像素点互相连接起来构成一个封闭的轮廓,封闭性是分水岭算法的一个重要特征。本示例适用于二维和三维图像,计算分水岭变换并将结果标签矩阵显示为RGB图像。(The watershed algorithm is an image region segmentation method. In the segmentation process, it will use the similarity with neighboring pixels as an important reference basis, so as to connect pixels that are close in space and have similar gray values to each other. Forming a closed contour, closedness is an important feature of the watershed algorithm. This example applies to 2D and 3D images, calculates the watershed transformation and displays the resulting label matrix as an RGB image.)

文件列表:

watershed_example.m, 2458 , 2020-04-08
watershed_example.asv, 2458 , 2020-04-08

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