Paper
22 October 1993 Model-based segmentation of the tongue surface using a modified scale space filter
Juergen Kelch, Berthold B. Wein
Author Affiliations +
Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157945
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
Abstract
Ultrasonic imaging is used in order to detect disturbed tongue movements during swallowing and articulation. On these real-time B-mode sonographic images, which represent a median sagittal plane through the tongue and the floor of the mouth, the physician normally marks the tongue surface (dorsum) manually to stress the shape information. Our work presents a solution to extract the tongue dorsum automatically. We use a modified scale space filter for basic segmentation. This edge detector is based on coarse-to-fine tracking by varying the smoothing parameter of the Laplacian-of-Gaussian filter (LoG). In this way contour segments of the tongue dorsum and other objects are extracted. A model of the tongue supports identification of the tongue segments and interpolation of the surface in the spatiotemporal space. Some segments include two or more objects -- like liquid and tongue. This is the reason why we form the tongue as a chain of elliptical structure elements. This model stresses a direction to detect the orientation of the tongue and is flexible enough to form any shape. These structure elements are matched to the scale space segments by correlation. A trainable cost path classifier selects the topological connections of the structure elements, which are linked by a spline interpolation. Finally virtual three-dimensional views of the contour surface in the spatiotemporal space are generated with different azimuthal angles for visualization.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juergen Kelch and Berthold B. Wein "Model-based segmentation of the tongue surface using a modified scale space filter", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157945
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KEYWORDS
Tongue

Image segmentation

Liquids

Chemical elements

Sensors

Bone

Electronic filtering

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