NDLI: Statistical glottal segmentation of videoendoscopic images using geodesic active contours

Content Provider	IEEE Xplore Digital Library
Author	Ammar-Badri, H. Benazza-Benyahia, A.
Copyright Year	2014
Description	Author affiliation: COSIM Lab., Carthage Univ., Ariana, Tunisia (Ammar-Badri, H.; Benazza-Benyahia, A.)
Abstract	The use of high-speed videoendoscopy aims at facilitating a diagnosis of voice pathologies. In this work, the challenge is to track the motion of the vocal folds to detect a possible paralysis. To this end, locating the glottis in each image by a suitable segmentation turns out to be a crucial step. In this respect, we propose a segmentation method based on geodesic active contours. The novelty of our approach lies on the use of a geodesic metric that controls the evolution of the active contour according to the statistical distributions of the image regions. Experimental simulations carried out on glottal images taken at different stages of the glottis cycle indicate the outperformance of the proposed approach over several reported glottal segmentation techniques.
Sponsorship	ATSI
Starting Page	198
Ending Page	203
File Size	790374
Page Count	6
File Format	PDF
ISBN	9781479948888
DOI	10.1109/ATSIP.2014.6834606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-17
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Image segmentation Error analysis Image edge detection Motion segmentation Statistical distributions High-speed videoendoscopy Glottal segmentation Geodesic metric Active contours
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Directional geodesic active contours

Skull Stripping Using Geodesic Active Contours in Magnetic Resonance Images

Analysis of vocal folds movement in high speed videoendoscopy based on level set segmentation and image registration

Snake based automatic tracing of vocal-fold motion from high-speed digital images

Robust Background Subtraction Using Geodesic Active Contours in ICA Subspace for Video Surveillance Applications

Segmentation of laryngeal high-speed videoendoscopy in temporal domain using paired active contours.

Using Geodesic Active Contours for motion-blurred images contour detection

Contour segmentation using an improved GAC model

Robust Interactive Image Segmentation Using Convex Active Contours

Statistical glottal segmentation of videoendoscopic images using geodesic active contours

Similar Documents

Directional geodesic active contours

Skull Stripping Using Geodesic Active Contours in Magnetic Resonance Images

Analysis of vocal folds movement in high speed videoendoscopy based on level set segmentation and image registration

Snake based automatic tracing of vocal-fold motion from high-speed digital images

Robust Background Subtraction Using Geodesic Active Contours in ICA Subspace for Video Surveillance Applications

Segmentation of laryngeal high-speed videoendoscopy in temporal domain using paired active contours.

Using Geodesic Active Contours for motion-blurred images contour detection

Contour segmentation using an improved GAC model

Robust Interactive Image Segmentation Using Convex Active Contours

Statistical glottal segmentation of videoendoscopic images using geodesic active contours