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


Autoria(s): Vallotton, P.; Sun, C.; Lovell, D. R.; Savelsbergh, M.; Payne, M.; Muench, G.
Data(s)

2011

Resumo

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.

Identificador

http://eprints.qut.edu.au/79859/

Publicador

Cambridge Journals

Relação

DOI:10.1017/S1431927611012128

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.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #020400 CONDENSED MATTER PHYSICS #060100 BIOCHEMISTRY AND CELL BIOLOGY #091200 MATERIALS ENGINEERING #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
Tipo

Journal Article