@InProceedings{SilvaRoAmCaFePe:2012:AnSeMo,
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
background.",
conference-location = "Ouro Preto, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.11",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.11",
language = "en",
ibi = "8JMKD3MGPBW34M/3C9UFM8",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C9UFM8",
targetfile = "413041473.pdf",
urlaccessdate = "2024, May 03"
}