Share Email Print

Journal of Biomedical Optics • Open Access

Automated frame selection process for high-resolution microendoscopy
Author(s): Ayumu Ishijima; Richard A. Schwarz; Dongsuk Shin; Sharon Mondrik; Nadarajah Vigneswaran; Ann M. Gillenwater; Sharmila Anandasabapathy; Rebecca Richards-Kortum

Paper Abstract

We developed an automated frame selection algorithm for high-resolution microendoscopy video sequences. The algorithm rapidly selects a representative frame with minimal motion artifact from a short video sequence, enabling fully automated image analysis at the point-of-care. The algorithm was evaluated by quantitative comparison of diagnostically relevant image features and diagnostic classification results obtained using automated frame selection versus manual frame selection. A data set consisting of video sequences collected

Paper Details

Date Published: 28 April 2015
PDF: 9 pages
J. Biomed. Opt. 20(4) 046014 doi: 10.1117/1.JBO.20.4.046014
Published in: Journal of Biomedical Optics Volume 20, Issue 4
Show Author Affiliations
Ayumu Ishijima, Rice Univ. (United States)
The Univ. of Tokyo (Japan)
Richard A. Schwarz, Rice Univ. (United States)
Dongsuk Shin, Rice Univ. (United States)
Sharon Mondrik, Rice Univ. (United States)
Nadarajah Vigneswaran, The Univ. of Texas Dental Branch at Houston (United States)
Ann M. Gillenwater, The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)
Sharmila Anandasabapathy, Baylor College of Medicine (United States)
Mount Sinai Medical Ctr. (United States)
Rebecca Richards-Kortum, Rice Univ. (United States)

© SPIE. Terms of Use
Back to Top