Fast LIC image generation based on significance map

Li Chen, Issei Fujishiro, Qunshen G. Peng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


Although texture-based methods provide a very promising way to visualize 3D vector fields, they are very time-consuming. In this paper, we introduce the notion of “significance map”, and describe how significance values are derived from the intrinsic properties of a vector field. Based on the significance map, we propose techniques to accelerate the generation of a line integral convolution (LIC) texture image, to highlight important structures in a vector field, and to generate an LIC texture image with different granularities. Also, we describe how to implement our method in a parallel environment. Experimental results illustrate the feasibility of our method.

Original languageEnglish
Title of host publicationHigh Performance Computing - 3rd International Symposium, ISHPC 2000, Proceedings
EditorsMateo Valero, Kazuki Joe, Masaru Kitsuregawa, Hidehiko Tanaka
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783540411284
Publication statusPublished - 2000
Externally publishedYes
Event3rd International Symposium on High Performance Computing, ISHPC 2000 - Tokyo, Japan
Duration: 2000 Oct 162000 Oct 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Symposium on High Performance Computing, ISHPC 2000

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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