Creeping Contours : A Multilabel Image Segmentation Method for Extracting Boundary Surfaces of Parts in Volumetric Images
Creeping Contours : A Multilabel Image Segmentation Method for Extracting Boundary Surfaces of Parts in Volumetric Images
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蠕动轮廓：一种用于提取体积图像中零件边界表面的多标签图像分割方法
DOI：
10.1115/1.3569830
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Yutaka Ohtake
中科院分区：
文献类型：
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作者：
Haitham Shammaa;Hiromasa Suzuki;Yutaka Ohtake
在这项工作中，我们引入了一种名为蠕动轮廓的方法，将图像分割为组成部分，以提取这些部分的边界表面。蠕动轮廓是从手动或自动定义的初始轮廓位置开始，按照轮廓点处的梯度和曲率定义的速度函数扩展的轮廓。图像中的轮廓以不同的速度同时蠕动，同时根据定义的蠕动条件将标签分配给轮廓像素。我们还通过将机械零件的 2D 灰度图像和 3D 体积计算机断层扫描图像分割成多个片段并生成这些零件的边界面，证明了该方法的有效性。
In this work, we introduce a method namedcreeping contoursfor image segmentation into component parts for the purpose of extracting the boundary surfaces of these parts. Creeping contours are contours that expand following a speed function defined by the gradient and curvature at contour points, starting from an initial contour position defined either manually or automatically. Contours in the image creep simultaneously at different speeds, while labels are assigned to contour pixels by the defined creeping condition. We also demonstrate the effectiveness of the proposed method by segmenting 2D grayscale images and 3D volumetric computed tomography images of mechanical parts into multiple segments and generating the boundary surfaces of these parts.