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Abstract—In this paper, we present an intensity
mapping algorithm for enhancement and segmentation of pancreatic ductal
nuclei in pancreatic ductal cell images acquired from pancreatic fine
needle aspiration specimens with Papanicolaou stain. The upper envelope
surface is obtained by rolling a ball of fixed size on the image surface
followed by a moving average filtering to smooth out the downward spikes.
When the upper envelope surface is mapped to the uniform intensity of the
maximum intensity of the original image, the contrasts inside nuclei are
magnified and the difference between intensities in the cytoplasm regions
and the void background is compressed resulting in improved separation of
the nuclei from the rest. Results of enhancement and segmentation of
pancreatic nucleus images are provided and compared to those without envelope
mapping.




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