02233nab a2200313 i 4500 BR-BrBNA 20260402122433.0 260402b2019 bl.qr|pooa||| 00| 0 eng | BR-BrBNA eng P06 8905 P07 Andrade, Bruno Geike de Vital, Benedito Rocha Carneiro, Angélica de Cássia Oliveira Basso, Vanessa Maria Pinto, Francisco de Assis de Carvalho Potential of Texture Analysis for Charcoal Classification Publicação on-line; 33 ref.; 5 tables; 2 illus.; Summary (En) 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. Keywords: discriminant analysis, gray level co-occurrence matrix, image analysis. CARVÃO ANÁLISE ESPÉCIE NATIVA MADEIRA REFLORESCIMENTO 2929 347952 Rio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 2025-0451 Floresta e Ambiente (Brazil) 1415-0980 / ISSN 2179-8087 0nline v. 26(3) p. 1-10; (2019) BR2026000262 https://www.scielo.br/j/floram/a/X4bWXJt6SLzhWNnD7vT6WWb/?format=pdf&lang=en ANA 341214 341214