# Motion Saliency Based Automatic Delineation of Glottis Contour in High-speed Digital Images

## TL;DR

This paper introduces an enhanced saliency network utilizing motion saliency to automatically delineate glottis contours in high-speed videoendoscopy images, aiding voice pathology diagnosis.

## Contribution

It presents a novel motion saliency measure integrated into the saliency network for improved glottis segmentation in HSV images.

## Key findings

- Effective glottis contour delineation demonstrated
- Improved segmentation accuracy over existing methods
- Potential for computer-aided voice pathology assessment

## Abstract

In recent years, high-speed videoendoscopy (HSV) has significantly aided the diagnosis of voice pathologies and furthered the understanding the voice production in recent years. As the first step of these studies, automatic segmentation of glottal images till presents a major challenge for this technique. In this paper, we propose an improved Saliency Network that automatically delineates the contour of the glottis from HSV image sequences. Our proposed additional saliency measure, Motion Saliency (MS), improves upon the original Saliency Network by using the velocities of defined edges. In our results and analysis, we demonstrate the effectiveness of our approach and discuss its potential applications for computer-aided assessment of voice pathologies and understanding voice production.