Evolutionary Improved Object Detector for Ultrasound Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104508" target="_blank" >RIV/00216305:26220/13:PU104508 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2013.6614002" target="_blank" >http://dx.doi.org/10.1109/TSP.2013.6614002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2013.6614002" target="_blank" >10.1109/TSP.2013.6614002</a>
Alternative languages
Result language
angličtina
Original language name
Evolutionary Improved Object Detector for Ultrasound Images
Original language description
Object detection in ultrasound images is difficult problem mainly because of relatively low signal–to–noise ratio. This paper deals with object detection in the noisy ultrasound images using modified version of Viola–Jones object detector. The method describes detection of carotid artery longitudinal section in ultrasound B–mode images. The detector is primarily trained by AdaBoost algorithm and uses a cascade of Haar–like features as a classifier. The main contribution of this paper is a method for detection of carotid artery longitudinal section. This method creates cascade of classifiers automatically using genetic algorithms. We also created post–processing method that marks position of artery in the image. The proposed method was released as open–source software. Resulting detector achieved accuracy 96.29%. When compared to SVM classification enlarged with RANSAC (RANdom SAmple Consensus) method that was used for detection of carotid artery longitudinal section, works our method real–time.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Research and development of technology for machine emotion detection in unstructured data</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
36th International Conference on Telecommunications and Signal processing
ISBN
978-1-4799-0402-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
586-590
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Rome
Event date
Jul 2, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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