By Topic

An adaptive segmentation technique for clinical endoscopic image processing

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
$33 $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

4 Author(s)
P. Wang ; Biomed. Eng. Res. Centre, Nanyang Technol. Univ., Singapore ; S. M. Krishnan ; Y. Huang ; N. Srinivasan

Computerized segmentation techniques have been successfully employed in different modalities of medical imaging, particularly in magnetic resonance. Segmentation of clinical endoscopic images for intelligent endoscopy has been attempted in this research. An adaptive lumen center detection algorithm is developed and a new segmentation method is proposed in which a splitting-merging based algorithm is combined with the lumen center detection. The results show that endoscopic images can be segmented for identification of different regions of clinical interest using the proposed algorithm, thus contributing to intelligent endoscopy.

Published in:

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint  (Volume:2 )

Date of Conference:

2002