Closed Contour Specular Reflection Segmentation in Laparoscopic Images
Joint Authors
Grigat, Rolf-Rainer
Marcinczak, Jan Marek
Source
International Journal of Biomedical Imaging
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-01
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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 sensitivity by 16% compared to the state-of-the-art thresholding methods.
American Psychological Association (APA)
Marcinczak, Jan Marek& Grigat, Rolf-Rainer. 2013. Closed Contour Specular Reflection Segmentation in Laparoscopic Images. International Journal of Biomedical Imaging،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-483511
Modern Language Association (MLA)
Marcinczak, Jan Marek& Grigat, Rolf-Rainer. Closed Contour Specular Reflection Segmentation in Laparoscopic Images. International Journal of Biomedical Imaging No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-483511
American Medical Association (AMA)
Marcinczak, Jan Marek& Grigat, Rolf-Rainer. Closed Contour Specular Reflection Segmentation in Laparoscopic Images. International Journal of Biomedical Imaging. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-483511
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483511