Zigzag persistent homology for processing neuronal images
- Mata, G. 1
- Morales, M. 2
- Romero, A. 1
- Rubio, J. 1
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1
Universidad de La Rioja
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2
Universitat Autònoma de Barcelona
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ISSN: 0167-8655
Ano de publicación: 2015
Volume: 62
Páxinas: 55-60
Tipo: Artigo
Outras publicacións en: Pattern Recognition Letters
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Resumo
We apply the ideas of zigzag persistence to determine the objects of interest in stacks of neuronal images, locating and marking different dendrites. In particular, this allows us to recognize some 3D properties of the objects, distinguishing dendrites that cross, but not intersect, in the ambient space. The algorithms are implemented in a Fiji/ImageJ plugin, usable on two different kinds of images. © 2015ElsevierB.V.Allrightsreserved.