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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]
RESULTS Previous: ACQUISITION AND ANALYSIS OF RR TEMPORAL SERIES FROM HOLTER RECORDINGS Previous: Active contours and medical imaging DISCUSSION
[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

FIGURES

fig. 1
Figure 1: Median Filter. (a) True Image, (b) Averaging 4x4 pixel blocks (c) Each pixel is replaced by its 8-neighbors average in a 3x3 mask (c) Each pixel is replaced by its 120-neighbors average in a 11x11 mask

 

fig. 2
Figure 2: Selective Median Algorithm Matrix: the final goal is to mark the pixel belonging to a chain of at least 3-pixels long in order to apply a median filter.

 

fig. 3
Figure 3: Obtained numerical results for different kind of random generated noise. MA: Median Application (close to noise added percentage), LM: Laplacian Metric Error, SNR: Signal-To-Noise Ratio, MSE: Mean Square Error.

 

Discussion Board
Discussion Board

Any Comment to this presentation?

[ABSTRACT] [INTRODUCTION] [SELECTIVE MEDIAN FILTER ALGORITHM] [RESULTS] [FIGURES] [DISCUSSION] [REFERENCES] [Discussion Board]
RESULTS Previous: ACQUISITION AND ANALYSIS OF RR TEMPORAL SERIES FROM HOLTER RECORDINGS Previous: Active contours and medical imaging DISCUSSION
[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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Last update: 17/01/00