Glottal gap tracking using temporal intensity variation and active contours

Abstract:

The present work describes a new methodology for the automatic tracking of the glottal space from highspeed digital images of the larynx. This approach involves four steps: Firstly, the region with maximal glottal opening is found, by detecting the total intensity variation of the video in the x and y axis. Secondly, we create a standard template using the information obtained from manual segmentations. Thirdly, using normalized cross correlation the surface that represents the best matching between the template and the next frame is obtained. The matching area will be the initialization for the segmentation algorithm in each frame. Finally, using an algorithm based on active contours we obtain the glottal gap. This procedure is done iteratively until the last frame has been reached. The performance, effectiveness and validation of the approach is demonstrated even in high-speed recordings in which the images present an inappropriate closure of the vocal folds.

Año de publicación:

2013

Keywords:

• HSDI
• Glottis
• Glottal gap
• ROI

Fuente:

scopus