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A Clustering-Based Automatic Transfer Function Design for Volume Visualization
Joint Authors
Zhang, Tianjin
Yi, Zongrui
Zheng, Jinta
Liu, Dong C.
Pang, Wai-Mai
Wang, Qiong
Qin, Jing
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-14
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The two-dimensional transfer functions (TFs) designed based on intensity-gradient magnitude (IGM) histogram are effective tools for the visualization and exploration of 3D volume data.
However, traditional design methods usually depend on multiple times of trial-and-error.
We propose a novel method for the automatic generation of transfer functions by performing the affinity propagation (AP) clustering algorithm on the IGM histogram.
Compared with previous clustering algorithms that were employed in volume visualization, the AP clustering algorithm has much faster convergence speed and can achieve more accurate clustering results.
In order to obtain meaningful clustering results, we introduce two similarity measurements: IGM similarity and spatial similarity.
These two similarity measurements can effectively bring the voxels of the same tissue together and differentiate the voxels of different tissues so that the generated TFs can assign different optical properties to different tissues.
Before performing the clustering algorithm on the IGM histogram, we propose to remove noisy voxels based on the spatial information of voxels.
Our method does not require users to input the number of clusters, and the classification and visualization process is automatic and efficient.
Experiments on various datasets demonstrate the effectiveness of the proposed method.
American Psychological Association (APA)
Zhang, Tianjin& Yi, Zongrui& Zheng, Jinta& Liu, Dong C.& Pang, Wai-Mai& Wang, Qiong…[et al.]. 2016. A Clustering-Based Automatic Transfer Function Design for Volume Visualization. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112200
Modern Language Association (MLA)
Zhang, Tianjin…[et al.]. A Clustering-Based Automatic Transfer Function Design for Volume Visualization. Mathematical Problems in Engineering No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1112200
American Medical Association (AMA)
Zhang, Tianjin& Yi, Zongrui& Zheng, Jinta& Liu, Dong C.& Pang, Wai-Mai& Wang, Qiong…[et al.]. A Clustering-Based Automatic Transfer Function Design for Volume Visualization. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1112200
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112200