author = "Silva, Lucas Souza e and Rocha, Filipe Ribeiro and Amaral, Lorena 
                         Borges and Carneiro, C{\'a}ssio Alves and Ferreira, Fl{\'a}via 
                         Magalh{\~a}es Freitas and Peixoto, Z{\'e}lia Myriam Assis",
          affiliation = "{Instituto Tecnol{\'o}gico de Aeron{\'a}utica} and 
                         {Pontif{\'{\i}}cia Universidade Cat{\'o}lica de Minas Gerais} 
                         and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica de Minas 
                         Gerais} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica de 
                         Minas Gerais} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica 
                         de Minas Gerais} and {Pontif{\'{\i}}cia Universidade 
                         Cat{\'o}lica de Minas Gerais}",
                title = "Analysis in Sensibility of a Motion Detection Algorithm for 
                         Selecting Noise Reduction Methods in X-ray Image Sequences",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno, 
                         Roberto and Silva, Luciano",
         organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "digital imaging, X-ray, motion detection, spatial filtering, 
                         temporal filtering, hybrid filtering.",
             abstract = "The quantum noise, intrinsic to the acquisition of X-ray images, 
                         becomes more significant during the processes related to 
                         fluoroscopy due to its low signal to noise ratio. In this 
                         condition, and if there is presence of motion in the image 
                         sequence, the use of temporal filtering is restricted, because it 
                         will lead to the generation of traces in the resulting filtered 
                         images. This artifact can be minimized using purely spatial 
                         filtering on regions where motion has been detected. The 
                         combination of temporal filtering / spatial filtering results in 
                         the hybrid filtering, which is driven by a binary mask of motion 
                         detection and it is obtained from the analysis and classification 
                         of pixels, based on statistical properties of the image. In this 
                         sense, this article aims at contributing to the methods of motion 
                         detection, presenting new analyzes in the sensibility of a 
                         detection algorithm and tests with real images of X-ray 
                         examinations. Preliminary results indicate that the filtering 
                         process can be improved with the proper choice of parameters of 
                         the motion detection mask for different types of medical X-ray 
                         procedures, which differ fundamentally by the amount of relative 
                         movement among consecutive frames and the contrast among gray 
                         intensities in an image sequence, in relation to the static 
  conference-location = "Ouro Preto",
      conference-year = "Aug. 22-25, 2012",
             language = "en",
           targetfile = "413041473.pdf",
        urlaccessdate = "2021, Jan. 27"