Geometric and Information Constraints for Automatic Landmark Selection in Colposcopy Sequences

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03134572" target="_blank" >RIV/68407700:21230/07:03134572 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Geometric and Information Constraints for Automatic Landmark Selection in Colposcopy Sequences

Original language description

Colposcopy is a diagnostic method to visually detect cancerous and pre-cancerous tissue regions in the uterine cervix. A typical result is a sequence of cervical images captured at different times after the application of a contrast agent that must be spatially registered to compensate for patient, camera and tissue movement and on which progressive color and texture changes may be seen. We present a method to automatically select correct landmarks for non-consecutive sequence frames captured at long time intervals from a group of candidate matches. Candidate matches are extracted by detecting and matching feature points in consecutive images. Selection is based on geometrical constraints and a local rigid registration using Mutual Information.

Czech name

Geometric and Information Constraints for Automatic Landmark Selection in Colposcopy Sequences

Czech description

Colposcopy is a diagnostic method to visually detect cancerous and pre-cancerous tissue regions in the uterine cervix. A typical result is a sequence of cervical images captured at different times after the application of a contrast agent that must be spatially registered to compensate for patient, camera and tissue movement and on which progressive color and texture changes may be seen. We present a method to automatically select correct landmarks for non-consecutive sequence frames captured at long time intervals from a group of candidate matches. Candidate matches are extracted by detecting and matching feature points in consecutive images. Selection is based on geometrical constraints and a local rigid registration using Mutual Information.

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications

ISBN

978-972-8865-74-0

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

333-338

Publisher name

INSTICC Press

Place of publication

Setúbal

Event location

Barcelona

Event date

Mar 8, 2007

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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