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dc.contributor.author
Dolinko, Andrés Ezequiel
dc.contributor.author
Costales, Yasmil
dc.contributor.author
Carmaran, Cecilia Cristina
dc.contributor.author
Ceriani Nakamurakare, Esteban Daniel
dc.date.available
2023-10-25T13:04:49Z
dc.date.issued
2022-06
dc.identifier.citation
Dolinko, Andrés Ezequiel; Costales, Yasmil; Carmaran, Cecilia Cristina; Ceriani Nakamurakare, Esteban Daniel; A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks; Cornell University; Arxiv; 2206; 748; 6-2022; 1-14
dc.identifier.uri
http://hdl.handle.net/11336/215835
dc.description.abstract
Megaplatypus mutatus is an ambrosia beetle that attacks several species of trees by making galleries in the trunks where its larvae and associated fungi develop. This damage spoils the wood for commercial use and cause stem breakage in front of strong winds. Due to the insect´s cryptic lifestyle, gallery analyses have usually been studied by destructive methods. However, they alter the homeostasis of the insect-fungi interaction, modifies the topology of the gallery and, more importantly, does not reveal the 100% complex structure made by the insect. Therefore, a novel way to study this structure is by imaging the galleries by means of computerized axial tomography (CT). This method allows obtaining a three-dimensional representation of the gallery and the pupal chambers to be studied, while the wood and insect sample is not disturbed and generates a high amount of data. The isolation of the galleries and pupal chambers from the CT background images is not simple, because there is not enough contrast between the grey levels of the galleries and the marks generated by internal components of the trunk itself. In this paper, we present a robust algorithm that allows automating the isolation of the galleries and pupal chambers from CT trunk images which can be used in a broad spectrum of image analysis.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Cornell University
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/publicdomain/zero/1.0/
dc.subject
Tomography
dc.subject
Image recognition
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Image processing
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Ambrosia beetle
dc.subject.classification
Ciencias de la Información y Bioinformática
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
A novel set of algorithms to recognize galleries of ambrosia beetle in computerized axial tomography of trees trunks
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-10T11:12:14Z
dc.identifier.eissn
2331-8422
dc.journal.volume
2206
dc.journal.number
748
dc.journal.pagination
1-14
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Ithaca
dc.description.fil
Fil: Dolinko, Andrés Ezequiel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; Argentina
dc.description.fil
Fil: Costales, Yasmil. Universidad Favaloro; Argentina
dc.description.fil
Fil: Carmaran, Cecilia Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Micología y Botánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Micología y Botánica; Argentina. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina
dc.description.fil
Fil: Ceriani Nakamurakare, Esteban Daniel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Biodiversidad y Biología Experimental. Laboratorio de Micologia; Argentina. Universidad Nacional de Luján. Departamento de Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Arxiv
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2206.12748
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.48550/arXiv.2206.12748
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