Image segmentation is an important
research area in Computer Vision and the GVF-snake is an effective segmentation
algorithm presented in recent years. Traditional GVF-snake algorithm has a large capture range and can deal with boundary concavities.
However, when interesting object has deep concavities, traditional GVF-snake
algorithm can’t converge to true boundaries exactly. In this paper, a novel
improved scheme was proposed based on the GVF-snake. The central idea is
introduce dynamic balloon force and tangential force to strengthen the static
GVF force. Experimental
results of synthetic image and real image all demonstrated that the improved
algorithm can capture boundary concavities better and detect complex edges more accurately.
Cite this paper
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