Andrade, Bruno Geike de Vital, Benedito Rocha  Carneiro, Angélica de Cássia Oliveira  Basso, Vanessa Maria Pinto, Francisco de Assis de Carvalho  <br/><br/>
Potential of Texture Analysis for Charcoal Classification 

<br/><br/> Publicação on-line; 33 ref.; 5 tables; 2 illus.; Summary (En) 
<br/><br/> <br/><br/>Abstract<br/><br/>Charcoal produced from reforested wood can be distinguished from the charcoal derived from the<br/>wood of native species. This identification is very important for the trade, control and monitoring<br/>of charcoal production in Brazil. This study investigated the potential of texture analysis for<br/>classifying the charcoal based on origin (eucalyptus or native) and species. A total of 17 wood<br/>species were studied, five of which belonged to genus Eucalyptus and 12 were native to the Zona<br/>da Mata Mineira. Texture features based on the gray level co-occurrence matrix were extracted<br/>from digital images. The linear discriminant analysis was used to classify the images with these<br/>features. Employing 10 features, 96.2% accuracy was achieved for the classification by origin<br/>and 90.4% for the categorization by species. Texture analysis was shown to be a favorable and<br/>effective method that could facilitate the establishment of semiautomated techniques to classify<br/>the charcoal based on origin or species.<br/><br/>Keywords: discriminant analysis, gray level co-occurrence matrix, image analysis. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>CARVÃO<br/>ANÁLISE<br/>ESPÉCIE NATIVA<br/>MADEIRA<br/>REFLORESCIMENTO