A fast algorithm for registration of individual frames and information recovery in fluorescein angiography video image analysis

E. Corona, S. Mitra, M. Wilson

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

2 Scopus citations

Abstract

A fast algorithm, based on power cepstrum and crosscorrelation, techniques, for registration of image frames in a video is presented. Since compensation for unwanted rotations between image frames is needed, the shift invariance property of Fourier spectrum is used to find this rotation. The registration and information recovery approaches involve three image processing steps: a feature extraction step using the difference of Gaussian filtered images combined with median filtering for removal of noise, to enhance significant fluorescent blood vessels combined with median filtering for removal of noise; compensation for rotational and translational shifts in the Fourier domain using the spectral properties, crosscorrelation, and power cepstrum; lastly, information in each frame is maximized in comparison to the subsequent frames. Such analysis allows better interpretation of the video content for diagnostic evaluation of retinopathies.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-268
Number of pages4
ISBN (Electronic)0769515371
DOIs
StatePublished - 2002
Event5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002 - Santa Fe, United States
Duration: Apr 7 2002Apr 9 2002

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2002-January

Conference

Conference5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002
CountryUnited States
CitySanta Fe
Period04/7/0204/9/02

Keywords

  • Biomedical imaging
  • Blood vessels
  • Cepstral analysis
  • Cepstrum
  • Feature extraction
  • Fluorescence
  • Gaussian noise
  • Image processing
  • Information filtering
  • Information filters

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