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Selective surface normal estimation for volume rendering

Çelebi, Ömer Cengiz; Çevik, Ulus

Intelligent automation & soft computing. Volume 23:Issue 1 (2017); pp 95-102 -- TSI Press -- Taylor & Francis

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  • Title:
    Selective surface normal estimation for volume rendering
  • Author: Çelebi, Ömer Cengiz;
    Çevik, Ulus
  • Found In: Intelligent automation & soft computing. Volume 23:Issue 1 (2017); pp 95-102
  • Journal Title: Intelligent automation & soft computing
  • Subjects: Artificial intelligence--Periodicals; Intelligent control systems--Periodicals; Volume rendering--surface smoothing--normal estimation--staircase effect; Dewey: 003.5
  • Rights: legaldeposit
  • Publication Details: TSI Press
    Taylor & Francis
  • Abstract: Abstract:

    Three-dimensional volumetric data is discrete by nature. It does not preserve continuous surface. Therefore, to render surfaces realistically, the normal vectors must be predicted before processing the image. During the rendering, if the normals are averaged directly, then the sharp edges are smoothed out as well. In this paper, we show how to avoid over-smoothing problems by analyzing a few neighbor voxels, and selectively averaging the normals to keep details, within a predefined kernel.


  • Identifier: System Number: LDEAvdc_100070287612.0x000001; Journal ISSN: 1079-8587; 10.1080/10798587.2016.1139260
  • Publication Date: 2017
  • Physical Description: Electronic
  • Shelfmark(s): ELD Digital store

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