Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2012:
Metadata Last Update2020: administrator
Citation KeySilvaRoAmCaFePe:2012:AnSeMo
TitleAnalysis in Sensibility of a Motion Detection Algorithm for Selecting Noise Reduction Methods in X-ray Image Sequences
FormatDVD, On-line.
Access Date2021, Jan. 28
Number of Files1
Size1217 KiB
Context area
Author1 Silva, Lucas Souza e
2 Rocha, Filipe Ribeiro
3 Amaral, Lorena Borges
4 Carneiro, Cássio Alves
5 Ferreira, Flávia Magalhães Freitas
6 Peixoto, Zélia Myriam Assis
Affiliation1 Instituto Tecnológico de Aeronáutica
2 Pontifícia Universidade Católica de Minas Gerais
3 Pontifícia Universidade Católica de Minas Gerais
4 Pontifícia Universidade Católica de Minas Gerais
5 Pontifícia Universidade Católica de Minas Gerais
6 Pontifícia Universidade Católica de Minas Gerais
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto
DateAug. 22-25, 2012
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2012-09-20 16:45:34 :: -> administrator :: 2012
2020-02-19 02:18:28 :: administrator -> :: 2012
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsdigital imaging, X-ray, motion detection, spatial filtering, temporal filtering, hybrid filtering.
AbstractThe 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.
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