Stimulated Cores and their Applications in Medical Imaging

Representing geometric properties of objects in medical images independent of object size necessarily requires a multiscale, or scale space, analysis. We describe means called cores for representing middle and width properties of greyscale image objects via scale space measurements and describe an efficient algorithm for their computation called stimulated cores. We present applications of stimulated cores in a variety of medical imaging tasks.

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