Region-Growing Based Feature Extraction Algorithm for Tree-Like Objects
Region-Growing Based Feature Extraction Algorithm for Tree-Like Objects
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DOI：
10.1007/bfb0046951
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发表时间：
1996-09
期刊：
影响因子：
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通讯作者：
Y. Masutani;K. Masamune;T. Dohi
中科院分区：
文献类型：
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作者：
Y. Masutani;K. Masamune;T. Dohi
为了克服传统的“向轴”体素去除细化操作的局限性，提出了一种基于区域生长技术的“顺轴”算法，用于获取血管形状等树状物体的拓扑信息。将数学形态理论推广到二值形状内的闭空间，并引入闭合空间膨胀运算作为区域生长的推广形式。使用合成和临床3D图像，显示了其优越的特征，如参数可控性。
To overcome limitations of the conventional ‘toward-axis’ voxel-removal way of thinning operations, a new ‘along-axis’ style of algorithm was developed for topological information acquisition of tree-like objects like vascular shapes based on region-growing technique. The theory of mathematical morphology is extended for closed space inside binary shapes, and the ‘closed space dilation’ operation is introduced as generalized form of region growing. Using synthetic and clinical 3D images, its superior features, such as parametric controllability were shown.