...割；聚类分割；水平集；交互式分割算法 [gap=506]Keywords:Image segmentation;Threshold segmentation;Clustering segmentation;Level set;Interactive segmentation ...
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means clustering segmentation 均值聚类分割
fuzzy clustering segmentation 模糊聚类
Neighboring clustering segmentation 邻域聚类分割
K-means clustering segmentation K均值聚类分割
Clustering or Database Segmentation 聚类分析法
clustering-based segmentation model 隔化模式
Clustering Fast Segmentation 聚类快速分割法
clustering-based segmentation 群区隔模式
image segmentation by clustering [计] 用群集法进行图像分段
A clustering segmentation algorithm based on an improved K-means clustering method is used to improve the efficiency and accuracy of 3d medical image segmentation.
为提高三维医学数据场的分割效率和准确率，本文利用特征聚类技术，提出了一种新的基于改进K - means聚类的三维医学数据场的体分割算法。
This is supported by the comparison with the results of hierarchical clustering segmentation of point cloud model and K-Means clustering segmentation of mesh model.
与三维网格模型的K均值聚类分割、点云模型的谱系聚类分割的实验结果比较证实了这一点。
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
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