Title :
Abnormal tissus extraction in MRI brain medical images
Author :
Cherifi, Dalila ; Doghmane, M. Zinelabidine ; Nait-Ali, Amine ; Aici, Zakia ; Bouzelha, Salim
Author_Institution :
Inst. of Electr. & Electron. Eng., Univ. of Boumerdes, Boumerdes, Algeria
Abstract :
This study is a comparison between two image segmentation´s methods; the first method is based on normal brain´s tissue recognition then tumor extraction using thresholding method. The second method is classification based on EM segmentation which is used for both brain recognition and tumor extraction. The goal of these methods is to detect, segment, extract, classify and measure properties of the brain normal and abnormal (tumor) tissues.
Keywords :
biological tissues; biomedical MRI; brain; feature extraction; image recognition; image segmentation; medical image processing; tumours; EM segmentation; MRI brain medical images; abnormal tissue extraction; brain tissue recognition; image segmentation method; thresholding method; tumor extraction; Brain modeling; Computational modeling; Diseases; Image segmentation; Magnetic resonance imaging; Pixel; Tumors; EM segmentation; brain segmentation; magnetique resonance images; tumor extraction;
Conference_Titel :
Systems, Signal Processing and their Applications (WOSSPA), 2011 7th International Workshop on
Conference_Location :
Tipaza
Print_ISBN :
978-1-4577-0689-9
DOI :
10.1109/WOSSPA.2011.5931510
