Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Stereo with Multiple Windowing
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Radial Cumulative Similarity Transform for Robust Image Correspondence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Stereo Computation Using Radial Adaptive Windows
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Evaluation of the symmetry plane in 3D MR brain images
Pattern Recognition Letters
Speckle-Constrained Filtering of Ultrasound Images
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Adaptive Support-Weight Approach for Correspondence Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast variable window for stereo correspondence using integral images
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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Extraction of the mid-sagittal plane (MSP) in 3-D ultrasound fetal volume is an important procedure for first trimester screening. We present a robust semi-automated MSP extraction method for 3-D ultrasound fetal volume based on parametric template matching of an ellipse to the skull edge and on the combination of the local similarity measure and adaptive support-weight map. The algorithm is intended to reduce the variability of manual MSP detection. Our semi-automatically extracted MSPs are compared to those extracted manually by experts and experimental results demonstrate that our method is robust even in the presence of asymmetry, outlier and speckle noise with excellent detection accuracy for a large set of fetal volume data