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Title: Imaging vector fields using Line Integral Convolution

Abstract

Imaging vector fields has applications in science, art, image processing and special effects. An effective new approach is to use linear and curvilinear filtering techniques to locally blur textures along a vector field. This approach builds on several previous texture generation and filtering techniques. It is, however, unique because it is local, one-dimensional and independent of any predefined geometry or texture. The technique is general and capable of imaging arbitrary two- and three-dimensional vector fields. The local one-dimensional nature of the algorithm lends itself to highly parallel and efficient implementations. Furthermore, the curvilinear filter is capable of rendering detail on very intricate vector fields. Combining this technique with other rendering and image processing techniques -- like periodic motion filtering -- results in richly informative and striking images. The technique can also produce novel special effects.

Authors:
;
Publication Date:
Research Org.:
Lawrence Livermore National Lab., CA (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
10185520
Report Number(s):
UCRL-JC-112935; CONF-9208240-1
ON: DE93019922
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Conference
Resource Relation:
Conference: Computer graphics (CG) conference,Anaheim, CA (United States),1-6 Aug 1992; Other Information: PBD: 1 Mar 1993
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; VECTOR FIELDS; IMAGE PROCESSING; COMPUTER GRAPHICS; FILTERS; INTEGRAL EQUATIONS; COMPUTERIZED SIMULATION; 990200; MATHEMATICS AND COMPUTERS

Citation Formats

Cabral, B., and Leedom, L.C. Imaging vector fields using Line Integral Convolution. United States: N. p., 1993. Web.
Cabral, B., & Leedom, L.C. Imaging vector fields using Line Integral Convolution. United States.
Cabral, B., and Leedom, L.C. Mon . "Imaging vector fields using Line Integral Convolution". United States. doi:. https://www.osti.gov/servlets/purl/10185520.
@article{osti_10185520,
title = {Imaging vector fields using Line Integral Convolution},
author = {Cabral, B. and Leedom, L.C.},
abstractNote = {Imaging vector fields has applications in science, art, image processing and special effects. An effective new approach is to use linear and curvilinear filtering techniques to locally blur textures along a vector field. This approach builds on several previous texture generation and filtering techniques. It is, however, unique because it is local, one-dimensional and independent of any predefined geometry or texture. The technique is general and capable of imaging arbitrary two- and three-dimensional vector fields. The local one-dimensional nature of the algorithm lends itself to highly parallel and efficient implementations. Furthermore, the curvilinear filter is capable of rendering detail on very intricate vector fields. Combining this technique with other rendering and image processing techniques -- like periodic motion filtering -- results in richly informative and striking images. The technique can also produce novel special effects.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Mar 01 00:00:00 EST 1993},
month = {Mon Mar 01 00:00:00 EST 1993}
}

Conference:
Other availability
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