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Identifying weak linear features with the "Coalescing Shortest Path Image Transform"

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posted on 2025-05-08, 14:14 authored by Pascal Vallotton, Changming Sun, David Lovell, Martin Savelsbergh, Matthew Payne, Gerald Muench
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.

History

Journal title

Microscopy and Microanalysis

Volume

17

Issue

6

Pagination

911-914

Publisher

Cambridge University Press

Language

  • en, English

College/Research Centre

Faculty of Science and Information Technology

School

School of Mathematical and Physical Sciences

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