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Revista Árvore

versión impresa ISSN 0100-6762

Resumen

CRUVINEL, Paulo Estevão et al. Detection of beetle damage in forests by X-ray CT image processing. Rev. Árvore [online]. 2003, vol.27, n.5, pp. 747-752. ISSN 0100-6762.  http://dx.doi.org/10.1590/S0100-67622003000500017.

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.

Palabras llave : Forests; living trees; computerized tomography; injury detection.

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