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@InProceedings{AyresRang:2005:PeAnOr,
               author = "Ayres, F{\'a}bio Jos{\'e} and Rangayyan, Rangaraj Mandayam",
          affiliation = "Department of Electrical and Computer Engineering, University of 
                         Calgary, Calgary, Alberta, Canada",
                title = "Performance analysis of oriented feature detectors",
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
                         C{\'e}sar",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Oriented filters, Gabor filters, steerable filters, line 
                         detector.",
             abstract = "Oriented feature detectors are fundamental tools in image 
                         understanding, as many images display relevant information in the 
                         form of oriented features. Several oriented feature detectors have 
                         been developed; some of the important families of oriented feature 
                         detectors are steerable filters and Gabor filters. In this work, a 
                         performance analysis is presented of the following oriented 
                         feature detectors: the Gaussian second-derivative steerable 
                         filter, the quadrature-pair Gaussian second-derivative steerable 
                         filter, the real Gabor filter, the complex Gabor filter, and a 
                         line operator that has been shown to outperform the Gaussian 
                         second-derivative steerable filter in the detection of linear 
                         structures in mammograms. The detectors are assessed in terms of 
                         their capability to detect the presence of oriented features, as 
                         well as their accuracy in the estimation of the angle of the 
                         oriented features present in the image. It is shown that the Gabor 
                         filters yield the best detection performance and angular accuracy, 
                         whereas the steerable filters have the best performance in terms 
                         of computational speed.",
  conference-location = "Natal",
      conference-year = "9-12 Oct. 2005",
             language = "en",
           targetfile = "ayresf_oriented.pdf",
        urlaccessdate = "2020, Nov. 26"
}


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