IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
A Hybrid Approach via SRG and IDE for Volume Segmentation
Li WANGXiaoan TANGJunda ZHANGDongdong GUAN
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JOURNAL FREE ACCESS

2017 Volume E100.D Issue 9 Pages 2257-2260

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Abstract

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.

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© 2017 The Institute of Electronics, Information and Communication Engineers
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