Evaluation of feature descriptors for texture classification

Autor(es)

Schwartz, William Robson ^{[1, 2]} ; de Siqueira, Fernando Roberti ^[2] ; Pedrini, Helio ^[2]

Afiliação do(s) autor(es)

^[1] Univ Fed Minas Gerais, Dept Comp Sci, BR-31270010 Belo Horizonte, MG - Brazil

^[2] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF ELECTRONIC IMAGING; v. 21, n. 2 APR-JUN 2012.
• Citações Web of Science: 9

Resumo

Successful execution of tasks such as image classification, object detection and recognition, and scene classification depends on the definition of a set of features able to describe images effectively. Texture is among the features used by the human visual system. It provides information regarding spatial distribution, changes in brightness, and description regarding the structural arrangement of surfaces. However, although the visual human system is extremely accurate to recognize and describe textures, it is difficult to define a set of textural descriptors to be used in image analysis on different application domains. This work evaluates several texture descriptors and demonstrates that the combination of descriptors can improve the performance of texture classification. (C) 2012 SPIE and IS\&T. {[}DOI: 10.1117/1.JEI.21.2.023016] (AU)

• Processo FAPESP: 10/10618-3 - Combinação de Descritores de Características para Análise de Vídeos Contendo Humanos
• Beneficiário: William Robson Schwartz
• Linha de fomento: Bolsas no Brasil - Pós-Doutorado