期刊论文详细信息
Revista Árvore
Detection of beetle damage in forests by X-ray CT image processing
Paulo Estevão Cruvinel2  João De Mendonça Naime2  Miguel Borges1  Álvaro Macedo2  Aijun Zhang1 
[1] ,Embrapa Agricultural InstrumentationSão Carlos SP ,Brazil
关键词: Forests;    living trees;    computerized tomography;    injury detection;    Florestas;    árvores;    tomografia computadorizada;    detecção de injúrias;   
DOI  :  10.1590/S0100-67622003000500017
来源: SciELO
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【 摘 要 】

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.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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