Title :
Morphological Exponential Entropy Driven-HUM
Author :
Ardizzone, Edoardo ; Pirrone, Roberto ; Gambino, Orazio
Author_Institution :
Dept. of Comput. Sci., Palermo Univ.
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
This paper presents an improvement to the exponential entropy driven-homomorphic unsharp masking (E2D-HUM) algorithm devoted to illumination artifact suppression on magnetic resonance images. E2D-HUM requires a segmentation step to remove dark regions in the foreground whose intensity is comparable with background, because strong edges produce streak artifacts on the tissues. This new version of the algorithm keeps the same good properties of E2D-HUM without a segmentation phase, whose parameters should be chosen in relation to the image
Keywords :
biomedical MRI; brain; filtering theory; image segmentation; medical image processing; artifact suppression; brain; dark region removal; homomorphic unsharp masking; magnetic resonance images; morphological exponential entropy; segmentation step; streak artifacts; tissues; Cutoff frequency; Entropy; Filtering; Filters; Image segmentation; Lighting; Magnetic resonance; Magnetic resonance imaging; Pixel; Surface fitting;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259318
