[1]
B. Appelbe,
Software tools for visualization of performance,
Performance Instrumentation and Visualization,
ACM Press, New York, (1990).
[2]
Y. Arnaud, M. Desbois and J. Maizi,
Automatic tracking and characterization of African convective systems
on Meteosat pictures,
Am. Meteorological Soc, May (1992) pp. 443-453.
[3]
A. Bayliss, B. J. and H. Riecke,
Modulated traveling waves in combustion,
Numerical Methods for PDE's with Critical Parameters,
Academic Publishers, (1993).
[4]
I. Carlbom, I. Chakravarty and W. Hsu,
Integrating computer graphics, computer vision, and image
processing in scientific applications,
Computer Graphics,
vol. 26(1), (1992) pp. 8-16.
[5]
H. Cline, C. Dumoulin, H. Hart, W. Lorensen and S. Ludke,
3D reconstruction of the brain from magnetic resonance
images using a connectivity algorithm,
Magn Reson. Imaging 5, (1987), pp. 345-352.
[6]
D. Edwards and P. Kearns,
DTVS: A distributed trace visualization system,
Proceedings Sixth IEEE Symposium on Parallel and
Distributed Processing,
(1994) pp. 281-288.
[7]
M. el-Hamdi, M. Gorman and K. A. Robbins,
Deterministic chaos in laminar premixed flames:
Experimental classification of chaotic dynamics,
Combustion Science & Tech., vol. 94 (1993) pp. 87-101.
[8]
R. S. Gallagher,
Scientific visualization: An engineering perspective,
in Computer Visualization,
CRC Press, (1995).
[9]
R. S. Gallagher,
Visualization: The look of reality,
IEEE Spectrum,
vol. 31 no. 11 (1994) pp. 48-51.
[10]
L. Gong, C. Kulikowski and R. Mezrich,
Automatic segmentation of brain images: Selection of
region extraction methods,
SPIE Biomed. Image Process.,
vol II (1991) pp. 144-153.
[11]
R. Gonzalez and R. E. Woods,
Digital Image Processing,
Addison-Wesley Publishing Company, (1992).
[12]
M. Gorman, M. el-Hamdi and K. A. Robbins,
Hopping motion in ordered states of cellular flames,
Combustion Science & Tech.,
vol. 98 (1994) pp. 71-78.
[13]
M. Gorman, C. F. Hamill, M. El-Hamdi and K. A. Robbins,
Rotation and modulated rotating states of cellular flames,
Combustion Science & Tech.,
vol. 98 (1994) pp. 25-35.
[14]
M. Gorman, M. El-Hamdi and K. A. Robbins,
Chaotic dynamics near the extinction limit of a premixed flame on
a porous plug burner,
Combustion Science & Tech.,
vol. 98 (1994) pp. 47-56.
[15]
M. T. Heath,
Visualizing the performance of parallel programs,
IEEE Software,
vol. 8 no. 4 (1991) pp. 29-39.
[16]
M. T. Heath, A. D. Malony and D. T. Rover,
Parallel performance visualization: From practice to theory,
IEEE Parallel and Distributed Technology,
vol. 3 no. 4 (1995) pp. 44-60.
[17]
J. L. Helman and L. Hesselink,
Visualizing vector field topology in fluid flows,
IEEE Computer Graphics and Applications,
vol. 11 no. 3 (1991) pp. 36-46.
[18]
L. Hesselink,
Digital image processing in flow visualization,
Annual Rev. Fluid Mech.,
vol. 20 (1988) pp. 421-485.
[19]
A. Inselberg, C. Grinstein, T. Mihalisin and
H. Hinterberger,
Proceedings. Visualization '94, (1994) pp. 404-409.
[20]
H. Iwata and H. Noma,
Volume haptization,
Proceedings. IEEE 1993 Symposium on Research Frontiers in
Virtual Reality, (1993) pp. 16-23.
[21]
P. R. Keller and M. M. Keller,
Visual Cues,
IEEE Computer Society Press (1993).
[22]
K. Konstatinides and J. Rasure,
The Khoros
software development environment for image and signal processing,
IEEE Trans on Image Processing,
vol. 3 no. 3 (1994) pp. 243-252.
[23]
E. Kraemer and J. T. Stasko,
The visualization of parallel systems: An overview,
Journal of Parallel and Distributed Computing,
vol. 18, (1993) pp. 105-117.
[24]
E. Kraemer and J. T. Stasko,
Issues in visualization for the comprehension of parallel programs,
Proceedings IEEE Third Workshop on Program Comprehension,
(1994) pp. 116-125.
[25]
K. Ma, M. Cohen and J. Painter,
Volume seeds: A volume exploration technique,
J. Visual. Comput. Animation,
vol. 4 no. 2 (1991) pp. 135-140.
[26]
B. H. McCormick, T. A. DeFanti and M. D. Brown,
Visualization in Scientific Computing.
Computer Graphics,
vol. 21 no. 6 (1987) pp. 1-14.
[27]
B. P. Miller,
What to draw? When to draw?
An essay on parallel program visualization,
Journal of Parallel and Distributed Computing,
vol. 18 (1993) pp. 265-269.
[28]
G. M. Nielson, P. Brunet, M. Gross, H. Hagen and
S. V. Klimenko,
Research issues in data modelling for scientific visualizations,
IEEE Computer Graphics and Application
vol. 14 no. 2 (1993) pp. 70-73.
[29]
S. E. Parker, J. C. Cummings and R. Samtaney,
Visualization of plasma turbulence,
IEEE Computer Graphics and Applications,
vol. 15 no. 2 (1995) pp. 7-10.
[30]
E. Pepke,
Animation and the examination of behavior over time,
in
Computer Visualization,
CRC Press, (1995).
[31]
A. Rao and R. Jain,
Computerized flow field analysis: Oriented texture fields,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
vol. 14 no. 7 (1992) pp. 693-709.
[32]
K. A. Robbins and M. Gorman,
A case study using image processing and computer animation
to analyze spatial and temporal structure in pattern formation,
University of Texas at San Antonio Technical Report 96-2, 1996.
[33]
R. Samtaney, D. Silver, N. Zabusky and J. Cao,
Visualizing features and tracking their evolution,
Computer,
vol. 27 no. 7 (1994) pp. 20-27.
[34]
M. S. Shephard and W. J. Schroeder,
Analyze data for visualization,
in Computer Visualization,
CRC Press, (1995).
[35]
D. Silver and N. Zabusky,
Quantifying visualizations
for reduced modeling in nonlinear science: Extracting structures
from data sets,
J. Visual Commun. and Image Representation,
vol. 4 no. 1 (1993) pp. 46-61.
[36]
D. Silver,
Object-oriented visualization,
IEEE Computer Graphics and Applications,
vol. 15, no. 3 (1995) pp. 54-62.
[37]
D. Silver and N. J. Zabusky,
Scientific visualization and computer vision,
Proceeding IEEE Workshop on Visualization and Machine Vision,
(1994) pp. 55-61.
[38]
J. T. Stasko and E. Kraemer,
A methodology for building
application-specific visualizations of
parallel programs,
J. Parallel and Distr. Computing,
vol. 18 no. 2 (1993) pp. 248-264.
[39]
J. T. Stasko,
The path-transition paradigm: A practical methodology
for adding animation to program interfaces,
Journal of Visual Language and Computing,
vol. 1 no. 3 (1990) pp. 213-236.
[40]
J. T. Stasko,
TANGO: A framework and system for algorithm animation,
Computer,
vol. 23 no. 9 (September 1990) pp. 27-39.
4[1]
L. M. Stone, T. Erickson, B. B. Bederson,
P. Rothman and R. Muzzy,
Visualizing data: Is virtual reality the key?
Proceedings Visualization 94, (1994) pp. 401-413.
[42]
N. M. Thalmann and D. Thalmann,
Computer animation: A key issue for time visualization,
Scientific Visualization-Advances and Challenges,
Academic Press, (1994).
[43]
J. Villasenor and A. Vincent,
An algorithm for space recognition and time tracking of
vorticity tubes in turbulence,
CVGIP: Image Understanding,
vol. 55 no. 1 (1992) pp. 27-35.
[44]
J. E. West, M. M. Stephens and L. H. Turcotte,
Adaptation of volume visualization techniques to MIMD
architectures using MPI,
Proceedings of the 1994 Scalable Parallel Libraries Conference,
(1994) pp. 147-156.