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Closed contour specular reflection segmentation in laparoscopic images
Citation Link: https://doi.org/10.15480/882.1572
Publikationstyp
Journal Article
Date Issued
2013-08
Sprache
English
Author(s)
Institut
TORE-DOI
TORE-URI
Volume
2013
Start Page
Article ID 593183
Citation
Jan Marek Marcinczak and Rolf-Rainer Grigat, “Closed Contour Specular Reflection Segmentation in Laparoscopic Images,” International Journal of Biomedical Imaging, vol. 2013, Article ID 593183, 6 pages, 2013. doi:10.1155/2013/593183
Publisher DOI
Scopus ID
Publisher
Hindawi Publishing Corporation
Segmentation of specular reflections is an essential step in endoscopic image analysis; it affects all further processing steps including segmentation, classification, and registration tasks. The dichromatic reflectance model, which is often used for specular reflection modeling, is made for dielectric materials and not for human tissue. Hence, most recent segmentation approaches rely on thresholding techniques. In this work, we first demonstrate the limited accuracy that can be achieved by thresholding techniques and propose a hybrid method which is based on closed contours and thresholding. The method has been evaluated on 269 specular reflections in 49 images which were taken from 27 real laparoscopic interventions. Our method improves the average sensitivityby 16% compared to the state-of-the-art thresholding methods.
DDC Class
620: Ingenieurwissenschaften
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