Literature DB >> 22067706

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

Pascal Vallotton1, Changming Sun, David Lovell, Martin Savelsbergh, Matthew Payne, Gerald Muench.   

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.

Mesh:

Year:  2011        PMID: 22067706     DOI: 10.1017/S1431927611012128

Source DB:  PubMed          Journal:  Microsc Microanal        ISSN: 1431-9276            Impact factor:   4.127


  1 in total

1.  "To measure is to know": how advances in image analysis are supporting neural repair strategies.

Authors:  Pascal Vallotton; Robert Michail Ivan Kapsa
Journal:  Neural Regen Res       Date:  2015-07       Impact factor: 5.135

  1 in total

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