Envelope mapping algorithm and its applications in enhancement and segmentation of pancreatic cell images

Hai Shan Wu*, Mireille Bitar, David Burstein, Marie Ramer, Joan Gil

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)305011-305016
Number of pages6
JournalJournal of Imaging Science and Technology
Volume53
Issue number3
DOIs
StatePublished - May 1 2009

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Chemistry(all)
  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications

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