A Review of Image Segmentation Techniques for Tracking the Velum

Several studies have used 2D and 3D modeling to visualize the velum. Very few attempts have been made to track the velum and plot its movement against time. Image segmentation has been used widely for various purposes. However, its proficiency in tracking the velum is questionable at the moment. Two image segmentation methods, EdgeTrak and the Hidden Markov Model, are reviewed in this report. EdgeTrak, a software developed at VIMS Lab, has been proven to track the surface of a human tongue during speech production. An attempt was made to similarly track the velum during speech production using EdgeTrak but the results were disappointing. Also, synchronized audio mapping using the Hidden Markov Model was only partially successful. This paper describes the challenges image segmentation faces with regards to tracking the velum.