A Hybrid Approach via SRG and IDE for Volume Segmentation

Li WANG  Xiaoan TANG  Junda ZHANG  Dongdong GUAN  

IEICE TRANSACTIONS on Information and Systems   Vol.E100-D   No.9   pp.2257-2260
Publication Date: 2017/09/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDL8085
Type of Manuscript: LETTER
Category: Computer Graphics
volume segmentation,  hybrid approach,  SRG,  over-segment,  IDE,  cluster,  

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Volume segmentation is of great significances for feature visualization and feature extraction, essentially volume segmentation can be viewed as generalized cluster. This paper proposes a hybrid approach via symmetric region growing (SRG) and information diffusion estimation (IDE) for volume segmentation, the volume dataset is over-segmented to series of subsets by SRG and then subsets are clustered by K-Means basing on distance-metric derived from IDE, experiments illustrate superiority of the hybrid approach with better segmentation performance.