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Proceedings Paper

Soft computing method for the removal of pixelation in microendoscopic images
Author(s): Molly M. Dickens; Michael P. Houlne; Sunanda Mitra; Darryl J. Bornhop
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Paper Abstract

Flexible micro-endoscopes with dimensions of as small as 1.0 mm in outer diameter and as long as 3.0 m in length produce images that have a 'honeycomb' pattern due to the spaces between the individual collection optical fibers contained in the imaging conduit. This pattern is found to exhibit a definable spatial frequency that is discrete from that of the desired information or the actual images of interest. By applying a filter and by sharpening the contrast between adjacent pixels, it was possible to remove the honeycomb pattern without significant degradation to the visual quality of the image. The technique described employs Fourier analysis to analyze the image so as to define the 'noise' component. Then a discrete band-reject frequency filter was applied to both the original and sharpened images, resulting in the effective removal of the honeycomb pattern. The advantages and limitations of the image processing technique are discussed.

Paper Details

Date Published: 13 October 1997
PDF: 9 pages
Proc. SPIE 3165, Applications of Soft Computing, (13 October 1997); doi: 10.1117/12.284213
Show Author Affiliations
Molly M. Dickens, Texas Tech Univ. (United States)
Michael P. Houlne, Texas Tech Univ. (United States)
Sunanda Mitra, Texas Tech Univ. (United States)
Darryl J. Bornhop, Texas Tech Univ. (United States)

Published in SPIE Proceedings Vol. 3165:
Applications of Soft Computing
Bruno Bosacchi; James C. Bezdek; David B. Fogel, Editor(s)

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