DocumentCode :
3237679
Title :
Object localisation in fetal ultrasound images using invariant features
Author :
Bridge, Christopher P. ; Noble, J. Alison
Author_Institution :
Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
fYear :
2015
fDate :
16-19 April 2015
Firstpage :
156
Lastpage :
159
Abstract :
We address the task of object localisation in 2D fetal ultrasound images, where invariance to factors such as image contrast and object orientation is desirable. We build on recent methods for rotation-invariant detection and combine them with oriented measures of image structure derived from the monogenic signal. We test our approach on images containing the fetal heart. Our results suggest that although raw intensity features can achieve robust approximate detection, the structural measures can achieve better localisation.
Keywords :
biomedical ultrasonics; cardiology; feature extraction; medical image processing; object detection; obstetrics; 2D fetal ultrasound image; fetal heart; image contrast; image structure; invariant feature; monogenic signal; object localisation; object orientation; raw intensity feature; robust approximate detection; rotation-invariant detection; structural measurement; Detectors; Feature extraction; Heart; Histograms; Image representation; Robustness; Ultrasonic imaging; Ultrasound; detection; feature symmetry/asymmetry; fetal heart; histogram of gradients; monogenic signal; rotation invariant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location :
New York, NY
Type :
conf
DOI :
10.1109/ISBI.2015.7163839
Filename :
7163839
Link To Document :
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