a sensitivity analysis of initial conditions for the mumford-shah based level set method of image segmentation (student paper)
The level set method provides a means of segmenting images. Fundamentally, the level set method for image segmentation is a search algorithm that determines where an evolving curve's boundary pixels - who are meant to encompass an image segment's perimeter - should be placed according to some criteria. A method has been devised that utilizes the Mumford-Shah functional as a means of establishing that criteria. It has been shown that this method for image segmentation has limitations that, while mentioned in the original research, were not quantified with examples. We present evidence of these limitations, discuss how they occurred and describe our preliminary attempts at overcoming them. We conclude by offering a direction where this research might lead. This work is part of an ongoing research project.
image segmentation measures performance