Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/65812
Type: Artigo de periódico
Title: Evaluation of feature descriptors for texture classification
Author: Schwartz, WR
de Siqueira, FR
Pedrini, H
Abstract: 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]
Country: EUA
Editor: Is&t & Spie
Rights: fechado
Identifier DOI: 10.1117/1.JEI.21.2.023016
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
WOS000306436900035.pdf7.63 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.