Guiding ziplock snakes with a priori information.
other · Level V
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- Record sourced from PubMed, PMID 18237899.
- Also identified by DOI 10.1109/TIP.2003.809019.
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Abstract
In this paper, we present a method to combine a grammatical model that encodes a priori shape information with the ziplock snakes presented by Neuenschwander et al. A competing mechanism is adopted to take advantage of the shape models without inducing excessive computation. The resulting model-based ziplock snakes have many advantages over the original model: they can accurately locate contour features, produce more refined results, and deal with multiple contours, missing image cues, and noise.