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@InProceedings{Montoya-ZegarraLeitTorr:2007:RoScSt,
               author = "Montoya-Zegarra, Javier Alexander and Leite, Neucimar J. and 
                         Torres da Silva, Ricardo",
          affiliation = "Institute of Computing, State University of Campinas and Institute 
                         of Computing, State University of Campinas and Institute of 
                         Computing, State University of Campinas",
                title = "Rotation-Invariant and Scale-Invariant Steerable Pyramid 
                         Decomposition for Texture Image Retrieval",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes 
                         Vieira",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Steerable Pyramid Decomposition, Texture, Content-Based Image 
                         Retrieval, Texture-based Image Retrieval, Feature Extraction.",
             abstract = "This paper proposes a new rotation-invariant and scale-invariant 
                         representation for texture image retrieval based on Steerable 
                         Pyramid Decomposition. By calculating the mean and standard 
                         deviation of decomposed image subbands, the texture feature 
                         vectors are extracted. To obtain rotation or scale invariance, the 
                         feature elements are aligned by considering either the dominant 
                         orientation or dominant scale of the input textures. Experiments 
                         were conducted on the Brodatz database aiming to compare our 
                         approach to the conventional Steerable Pyramid Decomposition, and 
                         a recent proposal for texture characteriztion based on Gabor 
                         Wavelets with regard to their retrieval effectiveness. Results 
                         demonstrate the superiority of the proposed method in rotated and 
                         scaled image datasets.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "montoya.zegarra-RotInvSclInvTexImgRet.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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