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dc.contributor.authorZhou, Jianlong
dc.contributor.authorWang, Xiuying
dc.contributor.authorCui, Hui
dc.contributor.authorGong, Peng
dc.contributor.authorMiao, Xianglin
dc.contributor.authorMiao, Yalin
dc.contributor.authorXiao, Chun
dc.contributor.authorChen, Fang
dc.contributor.authorFeng, Dagan
dc.date.accessioned2019-06-13
dc.date.available2019-06-13
dc.date.issued2016-08-19
dc.identifier.citationZhou, J., Wang, X., Cui, H. et al. BMC Bioinformatics (2016) 17:309. https://doi.org/10.1186/s12859-016-1177-4en_AU
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/2123/20549
dc.description.abstractBackground: Direct volume rendering is one of flexible and effective approaches to inspect large volumetric data such as medical and biological images. In conventional volume rendering, it is often time consuming to set up a meaningful illumination environment. Moreover, conventional illumination approaches usually assign same values of variables of an illumination model to different structures manually and thus neglect the important illumination variations due to structure differences. Results: We introduce a novel illumination design paradigm for volume rendering on the basis of topology to automate illumination parameter definitions meaningfully. The topological features are extracted from the contour tree of an input volumetric data. The automation of illumination design is achieved based on four aspects of attenuation, distance, saliency, and contrast perception. To better distinguish structures and maximize illuminance perception differences of structures, a two-phase topology-aware illuminance perception contrast model is proposed based on the psychological concept of Just-Noticeable-Difference. Conclusions: The proposed approach allows meaningful and efficient automatic generations of illumination in volume rendering. Our results showed that our approach is more effective in depth and shape depiction, as well as providing higher perceptual differences between structures.en_AU
dc.publisherSpringeren_AU
dc.relationARC DP140100211
dc.rights© 2016 Zhou, Wang, Cui, Gong, Miao, Miao, Xiao, Chen, Feng. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_AU
dc.subjectVolume rendering, Topology, Automatic illumination design, Distance, Saliency, Perceptionen_AU
dc.titleTopology-aware illumination design for volume renderingen_AU
dc.typeArticleen_AU
dc.type.pubtypePublisher's versionen_AU


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