Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/9877
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dc.contributor.authorGunasekaran, G.
dc.contributor.authorVenkatesan, M.
dc.date.accessioned2020-03-31T06:51:38Z-
dc.date.available2020-03-31T06:51:38Z-
dc.date.issued2020
dc.identifier.citationJournal of Intelligent Systems, 2020, Vol.29, 1, pp.100-109en_US
dc.identifier.uri10.1515/jisys-2017-0315
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/9877-
dc.description.abstractThe main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reconstructing process of 2D images. 2020 Walter de Gruyter GmbH, Berlin/Boston 2020.en_US
dc.titleAn Efficient Technique for Three-Dimensional Image Visualization through Two-Dimensional Images for Medical Dataen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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