Identifying weak linear features with the

Title: Identifying weak linear features with the "Coalescing Shortest Path Image Transform"
Creator: Vallotton, Pascal; Sun, Changming; Lovell, David; Savelsbergh, Martin; Payne, Matthew; Muench, Gerald
Relation: Microscopy and Microanalysis Vol. 17, Issue 6, p. 911-914
Publisher Link: http://dx.doi.org/10.1017/S1431927611012128
Publisher: Cambridge University Press
Resource Type: journal article
Date: 2011
Description: 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.
Subject: shortest paths; image transform; linear feature; neurite tracing; membrane tracing; image analysis; image processing
Identifier: http://hdl.handle.net/1959.13/937760
Identifier: uon:12614
Identifier: ISSN:1435-8115
Language: eng
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Identifying weak linear features with the "Coalescing Shortest Path Image Transform"