Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Contours: Modeling and Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Snake Implementation; A Dual Active Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Coarse-to-Fine Deformable Contour Optimization Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Scale-Space Based Approach for Deformable Contour Optimization
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Integrating articulatory features into HMM-based parametric speech synthesis
IEEE Transactions on Audio, Speech, and Language Processing
Continuous force field analysis for generalized gradient vector flow field
Pattern Recognition
Journal of Visual Communication and Image Representation
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This paper presents a system for automatic extraction and tracking of 2D contours of the tongue surfaces from digital ultrasound image sequences. The input to the system is provided by a Head and Transducer Support System (HATS), which is developed for use in ultrasound imaging of the tongue movement. We developed a novel active contour (snakes) model that uses several temporally adjacent images during the extraction of the tongue surface contour for an image frame. The user supplies an initial contour model for a single image frame in the whole sequence. Using optical flow and multi-resolution methods, this initial contour is then used to find the candidate contour points in the temporally immediate adjacent images. Subsequently, the new snake mechanism is applied to estimate optimal contours for each image frame using these candidate points. In turn, the extracted contours are used as models for the extraction process of new adjacent frames. Finally, the system uses a novel postprocessing technique to refine the positions of the contours. We tested the system on 11 different speech sequences, each containing about 25 images. Visual inspection of the detected contours by the speech experts shows that the results are very promising and this system can be effectively employed in speech and swallowing research.