Detecting the edge of the tongue: A tutorial

The goal of this paper is to provide a tutorial introduction to the topic of edge detection of the tongue from ultrasound scans for researchers in speech science and phonetics. The method introduced here is Active Contours (also called snakes), a method for searching for an edge, assuming that it is a smooth curve in the image data. The advantage of this approach is that it is robust to the noisy speckle that clouds edges. This method has been implemented in several software packages currently used for detecting the edge of the tongue in ultrasound images. The tutorial concludes with an overview of the scale‐space and Kalman filter approaches, state‐of‐the‐art developments in image processing that will likely influence work on tongue edge detection in the coming years.

[1]  J. Perkell Physiology of speech production: results and implications of a quantitative cineradiographic study , 1969 .

[2]  Thomas H. Shawker,et al.  Distinguisability of tongue shape during vowel production , 1985 .

[3]  M. Stone A three-dimensional model of tongue movement based on ultrasound and x-ray microbeam data. , 1990, The Journal of the Acoustical Society of America.

[4]  P. W. Nye,et al.  Analysis of vocal tract shape and dimensions using magnetic resonance imaging: vowels. , 1991, The Journal of the Acoustical Society of America.

[5]  Mubarak Shah,et al.  A Fast algorithm for active contours and curvature estimation , 1992, CVGIP Image Underst..

[6]  M H Cohen,et al.  Electromagnetic midsagittal articulometer systems for transducing speech articulatory movements. , 1992, The Journal of the Acoustical Society of America.

[7]  Davi Geiger,et al.  Scaling images and image features via the renormalization group , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[8]  T. Kaburagi,et al.  Determination of sagittal tongue shape from the positions of points on the tongue surface. , 1994, The Journal of the Acoustical Society of America.

[9]  Michael Isard,et al.  Active Contours , 2000, Springer London.

[10]  Chandra Kambhamettu,et al.  Automatic extraction and tracking of the tongue contours , 1999, IEEE Transactions on Medical Imaging.

[11]  Dmitry B. Goldgof,et al.  Multiscale combination of physically-based registration and deformation modeling , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[12]  Ioannis Pitas,et al.  Digital Image Processing Algorithms and Applications , 2000 .

[13]  Refractor Vision , 2000, The Lancet.

[14]  Chandra Kambhamettu,et al.  A Coarse-to-Fine Deformable Contour Optimization Framework , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[16]  Andrew Blake,et al.  A framework for spatiotemporal control in the tracking of visual contours , 1993, International Journal of Computer Vision.

[17]  Anil K. Jain Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.