Identification of partly destroyed objects using deformable templates

Haavard Rue*, Oddvar K. Husby

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This article addresses the problem of identification of partly destroyed human melanoma cancer cells in confocal microscopy imaging. Complete cancer cells are nearly circular and most of them have a nearly homogeneous boundary and interior region. A deformable template (Grenander, 1993) is well suited for these complete cells and models a cell as a natural deformed template or prototype. We will in this article focus on the remaining cells which have lost parts of the boundary region most probably due to a 'capping' phenomenon. We can interpret these cells as being partly destroyed, where in our statistical model the lost part of the boundary region is generated by a destructive deformation field acting and living on the cell or template. By doing simultaneous inference for both the natural and destructive deformation field, we are able to obtain reliable estimates of the outline in addition to where on the boundary the cell is destroyed. We apply our model to identifying partly destroyed human melanoma cancer cells with good results.

Original languageEnglish (US)
Pages (from-to)221-228
Number of pages8
JournalStatistics and Computing
Volume8
Issue number3
DOIs
StatePublished - Jan 1 1998

Keywords

  • Deformable templates
  • Destructive deformations
  • Markov chain Monte Carlo methods
  • Object identification
  • Object recognition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Computational Theory and Mathematics

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