Dr. Imola K. Fodor Profile

Dr. Imola K. Fodor

at Lawrence Livermore National Lab

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 7 May 2003 Paper

Efficient segmentation of spatio-temporal data from simulations

Imola Fodor, Chandrika Kamath

Proc. SPIE. 5022, Image and Video Communications and Processing 2003

KEYWORDS: Image processing algorithms and systems, Detection and tracking algorithms, Image segmentation, Gases, Computer simulations, Turbulence, Chlorine, Motion estimation, Magnetorheological finishing, Evolutionary algorithms

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Proceedings Article | 1 April 2003 Paper

Using independent component analysis to separate signals in climate data

Imola Fodor, Chandrika Kamath

Proc. SPIE. 5102, Independent Component Analyses, Wavelets, and Neural Networks

KEYWORDS: Principal component analysis, Independent component analysis, Statistical analysis, Data modeling, Electroluminescence, Solids, Data centers, Signal analyzers, Climatology, Atmospheric modeling

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SPIE Journal Paper | 1 January 2003

Denoising through wavelet shrinkage: an empirical study

Imola Fodor, Chandrika Kamath

JEI Vol. 12 Issue 01

KEYWORDS: Wavelets, Denoising, Image filtering, Spatial filters, Digital filtering, Gaussian filters, Interference (communication), Visualization, Nonlinear filtering, Wavelet transforms

Proceedings Article | 1 November 2001 Paper

Using data mining to find bent-double radio galaxies in the FIRST survey

Chandrika Kamath, Erick Cantu-Paz, Imola Fodor, Nu Tang

Proc. SPIE. 4477, Astronomical Data Analysis

KEYWORDS: Data mining, Observatories, Astronomy, Image processing, Error analysis, Feature extraction, Optical inspection, Data processing, Neural networks, Galactic astronomy

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Proceedings Article | 9 October 2000 Paper

Design and implementation of a parallel object-oriented image processing toolkit

Chandrika Kamath, Chuck Baldwin, Imola Fodor, Nu Tang

Proc. SPIE. 4118, Parallel and Distributed Methods for Image Processing IV

KEYWORDS: Data mining, Image processing, Wavelets, Denoising, Parallel processing, Feature extraction, Data processing, Image filtering, Data communications, Galactic astronomy

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