Identifying weak linear features with the "coalescing shortest path image transform"

Pascal Vallotton, Changming Sun, David Lovell, Martin Savelsbergh, Matthew Payne, Gerald Muench

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The detection of line-like features in images finds many applications in microanalysis. Actin fibers, microtubules, neurites, pilis, DNA, and other biological structures all come up as tenuous curved lines in microscopy images. A reliable tracing method that preserves the integrity and details of these structures is particularly important for quantitative analyses. We have developed a new image transform called the "Coalescing Shortest Path Image Transform" with very encouraging properties. Our scheme efficiently combines information from an extensive collection of shortest paths in the image to delineate even very weak linear features.
Original languageEnglish
Pages (from-to)911-914
Number of pages4
JournalMicroscopy and Microanalysis
Volume17
Issue number6
DOIs
Publication statusPublished - 2011

Keywords

  • algoritahm
  • image processing
  • linear feature
  • membrane tracing
  • neurite tracing
  • shortest paths

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