Cart (Loading....) | Create Account
Close category search window
 

Removal of optical fiber interference in color micro-endoscopic images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Dickens, M.M. ; Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA ; Bornhop, Darryl J. ; Mitra, S.

Flexible micro-endoscopes produce images that are obscured by a `honeycomb' pattern due to the negative space between the individual optical fibers contained in the imaging conduit. This pattern is found to exhibit a spatial frequency that is visibly distinct from that of the imaged object. By applying a frequency filter, it was possible to remove the honeycomb pattern without significant degradation to the visual quality of the image. This process greatly increases the perceived quality of the information being obtained by the endoscopes and aids in their effective use for medical diagnosis. The technique described employs Fourier spectral analysis to determine the `noise' component in the original image. A discrete band-reject frequency filter was designed by visually examining the spectral information and creating the necessary filter to block out the undesired frequency bond. The honeycomb pattern was no longer distinguishable after applying this filter to a test gray-level image of an Air Force calibration target. Next, the filter was applied to the individual color planes of a sample color image. The color planes were recombined to produce a full-color image that was free from interference. A full description of the methods involved is presented

Published in:

Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on

Date of Conference:

12-14 Jun 1998

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.