Detection of beetle damage in forests by X-ray CT image processing

Detection of beetle damage in forests by X-ray CT image processing

Some beetle species can have devastating economic impacts on forest and nursery industries. A recent example is Anophophora glabripennis, a species of beetle known in the United States as the ''Asian Longhorrned beetle'', which has damaged many American forests, and is a threat which can unintentionally reach south American countries, including Brazil. This work presents a new method based on X-ray computerized tomography (CT) and image processing for beetle injury detection in forests. Its results show a set of images with correct identification of the location of beetles in living trees as well as damage evaluation with time.

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Main Authors: Cruvinel,Paulo Estevão, Naime,João de Mendonça, Borges,Miguel, Macedo,Álvaro, Zhang,Aijun
Format: Digital revista
Language:English
Published: Sociedade de Investigações Florestais 2003
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622003000500017
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spelling oai:scielo:S0100-676220030005000172004-04-07Detection of beetle damage in forests by X-ray CT image processingCruvinel,Paulo EstevãoNaime,João de MendonçaBorges,MiguelMacedo,ÁlvaroZhang,Aijun Forests living trees computerized tomography injury detection Some beetle species can have devastating economic impacts on forest and nursery industries. A recent example is Anophophora glabripennis, a species of beetle known in the United States as the ''Asian Longhorrned beetle'', which has damaged many American forests, and is a threat which can unintentionally reach south American countries, including Brazil. This work presents a new method based on X-ray computerized tomography (CT) and image processing for beetle injury detection in forests. Its results show a set of images with correct identification of the location of beetles in living trees as well as damage evaluation with time.info:eu-repo/semantics/openAccessSociedade de Investigações FlorestaisRevista Árvore v.27 n.5 20032003-10-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622003000500017en10.1590/S0100-67622003000500017
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Cruvinel,Paulo Estevão
Naime,João de Mendonça
Borges,Miguel
Macedo,Álvaro
Zhang,Aijun
spellingShingle Cruvinel,Paulo Estevão
Naime,João de Mendonça
Borges,Miguel
Macedo,Álvaro
Zhang,Aijun
Detection of beetle damage in forests by X-ray CT image processing
author_facet Cruvinel,Paulo Estevão
Naime,João de Mendonça
Borges,Miguel
Macedo,Álvaro
Zhang,Aijun
author_sort Cruvinel,Paulo Estevão
title Detection of beetle damage in forests by X-ray CT image processing
title_short Detection of beetle damage in forests by X-ray CT image processing
title_full Detection of beetle damage in forests by X-ray CT image processing
title_fullStr Detection of beetle damage in forests by X-ray CT image processing
title_full_unstemmed Detection of beetle damage in forests by X-ray CT image processing
title_sort detection of beetle damage in forests by x-ray ct image processing
description Some beetle species can have devastating economic impacts on forest and nursery industries. A recent example is Anophophora glabripennis, a species of beetle known in the United States as the ''Asian Longhorrned beetle'', which has damaged many American forests, and is a threat which can unintentionally reach south American countries, including Brazil. This work presents a new method based on X-ray computerized tomography (CT) and image processing for beetle injury detection in forests. Its results show a set of images with correct identification of the location of beetles in living trees as well as damage evaluation with time.
publisher Sociedade de Investigações Florestais
publishDate 2003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622003000500017
work_keys_str_mv AT cruvinelpauloestevao detectionofbeetledamageinforestsbyxrayctimageprocessing
AT naimejoaodemendonca detectionofbeetledamageinforestsbyxrayctimageprocessing
AT borgesmiguel detectionofbeetledamageinforestsbyxrayctimageprocessing
AT macedoalvaro detectionofbeetledamageinforestsbyxrayctimageprocessing
AT zhangaijun detectionofbeetledamageinforestsbyxrayctimageprocessing
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