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6th Internet World Congress for Biomedical Sciences

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MEDICAL IMAGES RESTORATION BY ISOLATED NOISE SEQUENCES IDENTIFICATION

Gustavo Camps i Valls(1), Antonio J. Serrano López(2), Jesús Modia(3), José David Martín Guerrero(4), José Vicente Francés Víllora(5)
(1)Universitat de València - Burjassot, Valencia. Spain
(2)(3)Dpto. Electrónica. Universidad de Valencia - Burjasot. Spain
(4)G.P.D.S. Departament d´Enginyeria Electrònica. Universitat de València - Burjassot. Spain
(5)Dpto. Ingenieria Electrónica. University of Valencia - Burjassot. Spain

[ABSTRACT] [INTRODUCTION] [SELECTIVE MEDIAN FILTER ALGORITHM] [RESULTS] [FIGURES] [DISCUSSION] [REFERENCES] [Discussion Board]
FIGURES Previous: ACQUISITION AND ANALYSIS OF RR TEMPORAL SERIES FROM HOLTER RECORDINGS Previous: Active contours and medical imaging REFERENCES
[Health Informatics]
Next: Neural  Networks for the Detection of EEG Arousal During Sleep.
[Medical Electronics & Engineering]
Next: Cardiopulmonary multimodal monitoring system for critically ill patients

DISCUSSION

We can conclude that for a good cleaning and restoration of images it is evident that most of the work should be previous in the localization of the noise. Once this is effective for the image type and noise that we are working with, we will be able to apply the many existing tools of elimination of noise we want to, lineal or adaptative ones.

The proposed algorithm has been tested in a great number of clinical images revealling an excellent behaviour although some kind of empirical adjustments have to be made.


Discussion Board
Discussion Board

Any Comment to this presentation?

[ABSTRACT] [INTRODUCTION] [SELECTIVE MEDIAN FILTER ALGORITHM] [RESULTS] [FIGURES] [DISCUSSION] [REFERENCES] [Discussion Board]

FIGURES Previous: ACQUISITION AND ANALYSIS OF RR TEMPORAL SERIES FROM HOLTER RECORDINGS Previous: Active contours and medical imaging REFERENCES
[Health Informatics]
Next: Neural  Networks for the Detection of EEG Arousal During Sleep.
[Medical Electronics & Engineering]
Next: Cardiopulmonary multimodal monitoring system for critically ill patients
Gustavo Camps i Valls, Antonio J. Serrano López, Jesús Modia, José David Martín Guerrero, José Vicente Francés Víllora
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