NDLI: Improving the Accuracy of Feature Extraction for Flexible Endoscope Calibration by Spatial Super Resolution

Content Provider	IEEE Xplore Digital Library
Author	Rupp, S. Elter, M. Winter, C.
Copyright Year	2007
Description	Author affiliation: Fraunhofer-Inst. for Integrated Circuits, Erlangen (Rupp, S.; Elter, M.)
Abstract	Many applications in the domain of medical as well as industrial image processing make considerable use of flexible endoscopes - so called fiberscopes - to gain visual access to holes, hollows, antrums and cavities that are difficult to enter and examine. For a complete exploration and understanding of an antrum, 3d depth information might be desirable or yet necessary. This often requires the mapping of 3d world coordinates to 2d image coordinates which is estimated by camera calibration. In order to retrieve useful results, the precise extraction of the imaged calibration pattern's markers plays a decisive role in the camera calibration process. Unfortunately, when utilizing fiberscopes, the image conductor introduces a disturbing comb structure to the images that anticipates a (precise) marker extraction. Since the calibration quality crucially depends on subpixel-precise calibration marker positions, we apply static comb structure removal algorithms along with a dynamic spatial resolution enhancement method in order to improve the feature extraction accuracy. In our experiments, we demonstrate that our approach results in a more accurate calibration of flexible endoscopes and thus allows for a more precise reconstruction of 3d information from fiberoptic images.
Starting Page	6565
Ending Page	6571
File Size	498612
Page Count	7
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353864
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Endoscopes Calibration Spatial resolution Cameras Biomedical imaging Image processing Image retrieval Data mining Conductors
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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	Dr. B. Sutradhar bsutra@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	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library 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

Super resolution for fundoscopy based on 3D image registration

2-DOF auto-calibration for a 3D endoscope system based on active stereo

Hierarchical and binary spatial descriptors for lung nodule image retrieval

Blood detection in wireless capsule endoscope images based on salient superpixels

On localizing a capsule endoscope using magnetic sensors

Markerless registration for image-guided endoscopic retrograde cholangiopancreatography (ERCP)

Proposal on 3-D endoscope by using grid-based active stereo

Learning metrics for content-based medical image retrieval

A video-based speed estimation technique for localizing the wireless capsule endoscope inside gastrointestinal tract

Improving the Accuracy of Feature Extraction for Flexible Endoscope Calibration by Spatial Super Resolution

Similar Documents

Super resolution for fundoscopy based on 3D image registration

2-DOF auto-calibration for a 3D endoscope system based on active stereo

Hierarchical and binary spatial descriptors for lung nodule image retrieval

Blood detection in wireless capsule endoscope images based on salient superpixels

On localizing a capsule endoscope using magnetic sensors

Markerless registration for image-guided endoscopic retrograde cholangiopancreatography (ERCP)

Proposal on 3-D endoscope by using grid-based active stereo

Learning metrics for content-based medical image retrieval

A video-based speed estimation technique for localizing the wireless capsule endoscope inside gastrointestinal tract

Improving the Accuracy of Feature Extraction for Flexible Endoscope Calibration by Spatial Super Resolution