Abstract
To improve the efficiency and the intelligent level, this paper proposed a novel method of viewpoint selection based on the hybrid NM-PSO algorithm for volume rendering. It constructed the viewpoint quality evaluation function in the form of entropy by utilizing the luminance and structure features of the two-dimensional projected image of volume data. During the process of volume rendering, the hybrid NM-PSO algorithm intended to locate the globally optimal viewpoint and/or a set of the optimized viewpoints automatically and intelligently. The experimental results show that this method avoids redundant interactions and evidently improves the efficiency of volume rendering. The optimized viewpoints can rapidly focus on the important structural features or the region of interest in volume data and exhibit definite correlation with the perception character of human visual system. Compared with the methods based on PSO or NM simplex search, our method has the better performance of convergence rate, convergence accuracy and robustness.
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhang, YS., Wang, B., Dai, CJ. (2012). Viewpoint Selection Based on NM-PSO for Volume Rendering. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_62
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DOI: https://doi.org/10.1007/978-3-642-31576-3_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31575-6
Online ISBN: 978-3-642-31576-3
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