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

Vallotton, P., Sun, C., Lovell, D. R., Savelsbergh, M., Payne, M., & Muench, G. (2011) Identifying weak linear features with the "coalescing shortest path image transform". Microscopy and Microanalysis, 17(6), pp. 911-914.

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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. © Copyright Microscopy Society of America 2011.

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ID Code: 79859
Item Type: Journal Article
Refereed: Yes
Keywords: image analysis, image processing, image transform, linear feature, membrane tracing, neurite tracing, shortest paths, algorithm, article, cell membrane, cell tracking, confocal microscopy, fluorescence, image enhancement, methodology, neurite, three dimensional imaging, ultrastructure, Algorithms, Imaging, Three-Dimensional, Microscopy, Confocal, Neurites
DOI: 10.1017/S1431927611012128
ISSN: 1431-9276
Subjects: Australian and New Zealand Standard Research Classification > PHYSICAL SCIENCES (020000) > CONDENSED MATTER PHYSICS (020400)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > BIOCHEMISTRY AND CELL BIOLOGY (060100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MATERIALS ENGINEERING (091200)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 07 Jan 2015 04:05
Last Modified: 21 Jan 2015 04:34

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