title: Identifying weak linear features with the "coalescing shortest path image transform".
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.
authors: Division of Mathematics, Informatics, and Statistics, CSIRO, Sydney, Australia. pascal.vallotton@csiro.au
authors: Pascal
authors: P
authors: Vallotton
authors: Changming
authors: C
authors: Sun
authors: David
authors: D
authors: Lovell
authors: Martin
authors: M
authors: Savelsbergh
authors: Matthew
authors: M
authors: Payne
authors: Gerald
authors: G
authors: Muench
mesh_terms: D000465:Algorithms; D002462:Cell Membrane / Q000648:ultrastructure; D058948:Cell Tracking / Q000379:methods*; D005453:Fluorescence; D007089:Image Enhancement / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018613:Microscopy, Confocal / Q000379:methods*; D016501:Neurites / Q000648:ultrastructure