@article{15298ee2fb3042c6a4de56a7099d308f,
title = "A meta method for image matching",
abstract = "This paper presents a novel system for image matching in optical endoscopy. The proposed metamatching system approaches the challenge of matching images in a complex scene by incorporating multiple matchers and a decision function. Experiments are presented for Crohn's disease lesion matching in capsule endoscopy with a metamatcher consisting of five independent matchers. We compare the performance of six different types of decision functions. Results show that the F-measure of the metamatching system containing all five matchers is 4%-7% greater than the performance of using the best matcher only, with a maximum F-measure of 0.811. The robustness of the method is validated using simulated data generated by controlled deformations of the image. We also demonstrate how the addition of simulated data to the training set can be used to augment the performance of the metamatcher by up to 10%.",
keywords = "Endoscopy, image matching, meta methods",
author = "Sharmishtaa Seshamani and Rajesh Kumar and Gerard Mullin and Themistocles Dassopoulos and Hager, {Gregory D.}",
note = "Funding Information: Manuscript received November 26, 2010; revised February 09, 2011; accepted February 13, 2011. Date of publication February 24, 2011; date of current version August 03, 2011. This work was supported in part by the National Institutes of Health under Grant 5R21EB008227-02 and in part by Johns Hopkins University internal funds. Asterisk indicates corresponding author. *S. Seshamani is with the Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218 USA (e-mail: sharmi@cs.jhu.edu). R. Kumar and G. D. Hager are with the Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218 USA. G. Mullin is with the Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA. T. Dassopoulos is with the Gastroenterology Division, Washington University School of Medicine, St. Louis, MO 63110 USA. Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TMI.2011.2119326 Fig. 1. Capsule endoscope images showing the same anatomy with appearance variations. The four pairs show change in scale, rotation, illumination, and occlusion",
year = "2011",
month = aug,
doi = "10.1109/TMI.2011.2119326",
language = "English (US)",
volume = "30",
pages = "1468--1479",
journal = "IEEE transactions on medical imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "8",
}