Potential of Texture Analysis for Charcoal Classification
Abstract Charcoal produced from reforested wood can be distinguished from the charcoal derived from the wood of native species. This identification is very important for the trade, control and monitoring of charcoal production in Brazil. This study investigated the potential of texture analysis for...
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| Format: | Article |
| Language: | English |
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Universidade Federal Rural do Rio de Janeiro
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| Series: | Floresta e Ambiente |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300121&lng=en&tlng=en |
| _version_ | 1818013432637554688 |
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| author | Bruno Geike de Andrade Benedito Rocha Vital Angélica de Cássia Oliveira Carneiro Vanessa Maria Basso Francisco de Assis de Carvalho Pinto |
| author_facet | Bruno Geike de Andrade Benedito Rocha Vital Angélica de Cássia Oliveira Carneiro Vanessa Maria Basso Francisco de Assis de Carvalho Pinto |
| author_sort | Bruno Geike de Andrade |
| collection | DOAJ |
| description | Abstract Charcoal produced from reforested wood can be distinguished from the charcoal derived from the wood of native species. This identification is very important for the trade, control and monitoring of charcoal production in Brazil. This study investigated the potential of texture analysis for classifying the charcoal based on origin (eucalyptus or native) and species. A total of 17 wood species were studied, five of which belonged to genus Eucalyptus and 12 were native to the Zona da Mata Mineira. Texture features based on the gray level co-occurrence matrix were extracted from digital images. The linear discriminant analysis was used to classify the images with these features. Employing 10 features, 96.2% accuracy was achieved for the classification by origin and 90.4% for the categorization by species. Texture analysis was shown to be a favorable and effective method that could facilitate the establishment of semiautomated techniques to classify the charcoal based on origin or species. |
| first_indexed | 2024-04-14T06:33:05Z |
| format | Article |
| id | doaj.art-f6b155c58e194d06a9bd8a705ed1e427 |
| institution | Directory Open Access Journal |
| issn | 2179-8087 |
| language | English |
| last_indexed | 2024-04-14T06:33:05Z |
| publisher | Universidade Federal Rural do Rio de Janeiro |
| record_format | Article |
| series | Floresta e Ambiente |
| spelling | doaj.art-f6b155c58e194d06a9bd8a705ed1e4272022-12-22T02:07:33ZengUniversidade Federal Rural do Rio de JaneiroFloresta e Ambiente2179-808726310.1590/2179-8087.124117S2179-80872019000300121Potential of Texture Analysis for Charcoal ClassificationBruno Geike de AndradeBenedito Rocha VitalAngélica de Cássia Oliveira CarneiroVanessa Maria BassoFrancisco de Assis de Carvalho PintoAbstract Charcoal produced from reforested wood can be distinguished from the charcoal derived from the wood of native species. This identification is very important for the trade, control and monitoring of charcoal production in Brazil. This study investigated the potential of texture analysis for classifying the charcoal based on origin (eucalyptus or native) and species. A total of 17 wood species were studied, five of which belonged to genus Eucalyptus and 12 were native to the Zona da Mata Mineira. Texture features based on the gray level co-occurrence matrix were extracted from digital images. The linear discriminant analysis was used to classify the images with these features. Employing 10 features, 96.2% accuracy was achieved for the classification by origin and 90.4% for the categorization by species. Texture analysis was shown to be a favorable and effective method that could facilitate the establishment of semiautomated techniques to classify the charcoal based on origin or species.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300121&lng=en&tlng=endiscriminant analysisgray level co-occurrence matriximage analysis |
| spellingShingle | Bruno Geike de Andrade Benedito Rocha Vital Angélica de Cássia Oliveira Carneiro Vanessa Maria Basso Francisco de Assis de Carvalho Pinto Potential of Texture Analysis for Charcoal Classification Floresta e Ambiente discriminant analysis gray level co-occurrence matrix image analysis |
| title | Potential of Texture Analysis for Charcoal Classification |
| title_full | Potential of Texture Analysis for Charcoal Classification |
| title_fullStr | Potential of Texture Analysis for Charcoal Classification |
| title_full_unstemmed | Potential of Texture Analysis for Charcoal Classification |
| title_short | Potential of Texture Analysis for Charcoal Classification |
| title_sort | potential of texture analysis for charcoal classification |
| topic | discriminant analysis gray level co-occurrence matrix image analysis |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300121&lng=en&tlng=en |
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