Local or Global Minima: Flexible Dual-Front Active Contours

Most variational active contour models are designed to find the “desirable” local minima of data-dependent energy functionals with the hope of avoiding undesirable configurations due to noise or complex image structure. As such, there has been much research into the design of complex region-based energy functionals that are less likely to yield undesirable local minima. Unfortunately, most of these more “robust” region-based energy functionals are applicable to a much narrower class of imagery due to stronger assumptions about the underlying image data. Devising new implementation algorithms for active contours that attempt to capture more global minimizers of already proposed imagebased energies would allow us to choose an energy that makes sense for a particular class of energy without concern over its sensitivity to local minima. However, sometimes the completely-global minimum is just as undesirable as a minimum that is too local. In this paper, we propose a novel, fast a...

• Type: Conference
• Year: 2005
• Where: CVBIA
• Authors: Hua Li, Anthony J. Yezzi
• Keywords: Active Contour, Computer Vision, CVBIA 2005, Energy Functionals, Local Minima