Abstract
In this paper a new biologically inspired oscillator network, called Locally Excitatory Globally Inhibitory Oscillator Network (LEGION), is used to perform segmentation on sampled medical image datasets. An image segmentation algorithm that uses LEGION components and an adaptive scheme to choose tolerances is described. The results of the algorithm on MRI medical image datasets, with manual segmentation are obtained and compared. LEGION'S computational and architectural properties make it a promising approach for real-time medical image segmentation using multiple features.
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