Active Appearance Model Based Contour Extraction for MRI Images of Human Tongue

DOI

10.2991/masta-19.2019.24How to use a DOI?

Keywords

Tongue Contour, MRI images, Speech production

Abstract

In this article, we present the results of automatic extraction of speech articulator contours from Magnetic Resonance Imaging movie by employing the Active Appearance Model. An Active Appearance Model based framework is proposed to deal with the high nonlinear property of articulatory deformation during articulation, which demonstrates the advantage for tracking articulators shape from noisy MRI images. The extraction of the vocal tract contour was carried on MRI movies from Chinese subjects. The performance of this framework was evaluated by comparing manually labeled contours with automatically extracted ones. The average error is around 2.1 pixels.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Zhi-cheng Liu
AU  - Qi-long Sun
AU  - Jian-guo Wei
PY  - 2019/07
DA  - 2019/07
TI  - Active Appearance Model Based Contour Extraction for MRI Images of Human Tongue
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 144
EP  - 149
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.24
DO  - 10.2991/masta-19.2019.24
ID  - Liu2019/07
ER  -