Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00371-011-0634-3
Title: A clustering-based system to automate transfer function design for medical image visualization
Authors: Nguyen, B.P. 
Tay, W.-L.
Chui, C.-K. 
Ong, S.-H. 
Keywords: Clustering
LH histogram
Transfer function design
Volume rendering
Issue Date: Feb-2012
Source: Nguyen, B.P., Tay, W.-L., Chui, C.-K., Ong, S.-H. (2012-02). A clustering-based system to automate transfer function design for medical image visualization. Visual Computer 28 (2) : 181-191. ScholarBank@NUS Repository. https://doi.org/10.1007/s00371-011-0634-3
Abstract: Finding good transfer functions for rendering medical volumes is difficult, non-intuitive, and time-consuming. We introduce a clustering-based framework for the automatic generation of transfer functions for volumetric data. The system first applies mean shift clustering to oversegment the volume boundaries according to their low-high (LH) values and their spatial coordinates, and then uses hierarchical clustering to group similar voxels. A transfer function is then automatically generated for each cluster such that the number of occlusions is reduced. The framework also allows for semi-automatic operation, where the user can vary the hierarchical clustering results or the transfer functions generated. The system improves the efficiency and effectiveness of visualizing medical images and is suitable for medical imaging applications. © Springer-Verlag 2011.
Source Title: Visual Computer
URI: http://scholarbank.nus.edu.sg/handle/10635/53941
ISSN: 01782789
DOI: 10.1007/s00371-011-0634-3
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