Abstract:
A snake is an energy-minimizing
spline guided by external constraint forces and influenced by image forces that pull it
toward features such as lines and edges. In this paper we have implemented a Greedy Snake
as outlined by William and Shah. Further we have studied one/two other
implementations of snakes and have compared their usefulness in working with different
kind of images. Toward this end we have introduced an error metric that allows us to
compare the effectiveness of the various snakes and the effect of varying the different
parameters on the greedy snake.
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