Shape-based segmentation and characterization of biomedical images

Kevin O. Lepard, Richard A. Robb

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


The shape-based segmentation and characterization of biomedical images was discussed. The shapes descriptors of objects in computer images were extracted from a variety of sources, and their utility in biomedical applications was proved. They were used for the segmentation of cerabral ventricles from magnetic resonance images, and discrimination between the normal and abnormal nerve axons in photomicrographs.

Original languageEnglish (US)
Pages (from-to)232-242
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Dec 1 1996
EventMedical Imaging 1996 Image Processing - Newport Beach, CA, United States
Duration: Feb 12 1996Feb 15 1996


  • Cerebral ventricles
  • Cores
  • Hippocampus
  • Medial axis
  • Nerve axons
  • Segmentation
  • Shape analysis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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