Robust contour tracking in ultrasound tongue image sequences.

Abstract : A new contour-tracking algorithm is presented for ultrasound tongue image sequences, which can follow the motion of tongue contours over long durations with good robustness. To cope with missing segments caused by noise, or by the tongue midsagittal surface being parallel to the direction of ultrasound wave propagation, active contours with a contour-similarity constraint are introduced, which can be used to provide 'prior' shape information. Also, in order to address accumulation of tracking errors over long sequences, we present an automatic re-initialization technique, based on the complex wavelet image similarity index. Experiments on synthetic data and on real 60 frame per second (fps) data from different subjects demonstrate that the proposed method gives good contour tracking for ultrasound image sequences even over durations of minutes, which can be useful in applications such as speech recognition where very long sequences must be analyzed in their entirety.
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Clinical Linguistics & Phonetics, Taylor & Francis, 2016, 30 (3-5), pp.313-27. 〈10.3109/02699206.2015.1110714〉
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https://hal.archives-ouvertes.fr/hal-01366259
Contributeur : Aurore Jaumard-Hakoun <>
Soumis le : mercredi 14 septembre 2016 - 12:18:54
Dernière modification le : samedi 19 novembre 2016 - 01:11:09

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Kele Xu, Yin Yang, Maureen Stone, Aurore Jaumard-Hakoun, Clémence Leboullenger, et al.. Robust contour tracking in ultrasound tongue image sequences.. Clinical Linguistics & Phonetics, Taylor & Francis, 2016, 30 (3-5), pp.313-27. 〈10.3109/02699206.2015.1110714〉. 〈hal-01366259〉

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