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An Enhanced Method for the Snake Algorithm

Authors: Charles C. H. Lean; Alex K. B. See; S. Anandan Shanmugam;

An Enhanced Method for the Snake Algorithm

Abstract

The snakes algorithm is an image segmentation process that utilises energy-minimising splines. The energy terms are obtained from discrete points that make up a snake and the gray-level values in an image. An algorithm for automated positioning of the initial snake points is presented by the authors, together with two additional energy terms (intensity and spring) for the snake functional. The introduction of these two terms was found to produce a better segmentation result, with fewer iterations required for the snake to complete its energy-minimising process.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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