Time Domain Filtering of Two-Dimensional Fluorescence Data.

Abstract

Four time domain filtering methods are applied to simulated and experimental two dimensional fluorescence data in order to evaluate their performance. The methods that were evaluated are 1) moving average, 2) Savitsky Golay polynomial smoothing, 3) Chebyshev filtering, and 4) Bicubic spline filtering. The methods are compared using mean square error analysis and the difference in the amplitudes of the filtered noisy and ideal data. The two dimensional version of the Savitsky Golay filtering and the spline method produced the best overall results. Keywords: Time domain data filtering; Image analysis; Digital image processing; Two dimensional data analysis; Two dimensional fluorescence.

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Document Details

Document Type
Technical Report
Publication Date
Feb 10, 1986
Accession Number
ADA164954

Entities

People

  • Isiah M. Warner
  • Maria Vicsek
  • Sharon L. Neal

Organizations

  • Emory University

Tags

DTIC Thesaurus Topics

  • Chemistry
  • Data Sets
  • Digital Filters
  • Digital Image Processing
  • Digital Images
  • Experimental Data
  • Filters
  • Filtration
  • Frequency
  • Frequency Domain
  • Governments
  • Image Processing
  • Intensity
  • Military Research
  • Signal Processing
  • Time Domain
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Image Processing and Computer Vision.