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    Vallotton, Pascal and Kapsa, RobertMichail Ivan 2015. "To measure is to know": how advances in image analysis are supporting neural repair strategies. Neural Regeneration Research, Vol. 10, Issue. 7, p. 1040.


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Identifying Weak Linear Features with the “Coalescing Shortest Path Image Transform”

  • Pascal Vallotton (a1), Changming Sun (a1), David Lovell (a1), Martin Savelsbergh (a1), Matthew Payne (a1) (a2) and Gerald Muench (a2)
  • DOI: http://dx.doi.org/10.1017/S1431927611012128
  • Published online: 09 November 2011
Abstract
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.

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Corresponding author
Corresponding author. E-mail: pascal.vallotton@csiro.au
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Microscopy and Microanalysis
  • ISSN: 1431-9276
  • EISSN: 1435-8115
  • URL: /core/journals/microscopy-and-microanalysis
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