Title :
Effective evaluation of tumour region in brain MR images using hybrid segmentation
Author :
Verma, K. ; Urooj, Shabana ; Rituvijay
Author_Institution :
Dept. of Instrum. & Control Eng., Galgotias Coll. of Eng. & Technol., Noida, India
Abstract :
The aim of this work is to validate a quantitative technique to extract different attributes from MR images. A method known as hybrid segmentation that combines threshold segmentation, watershed segmentation, edge detection and morphological operators is considered jointly. This combined technique is experimented with MR scanned images of human brains to detect tumour. Exact size and location of tumour is detected using present hybrid segmentation technique.
Keywords :
biomedical MRI; edge detection; feature extraction; image segmentation; mathematical morphology; medical image processing; object detection; tumours; MR scanned images; attributes extraction; brain MR images; edge detection; human brains; hybrid segmentation technique; morphological operators; quantitative technique; threshold segmentation; tumour detection; tumour region; watershed segmentation; Biomedical imaging; Finite impulse response filters; Image edge detection; Image segmentation; Magnetic resonance imaging; Maximum likelihood detection; Tumors; edge detection; hybrid segmentation; morphological operators; watershed segmentation;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-93-80544-10-6
DOI :
10.1109/IndiaCom.2014.6828024