An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation
Автор: Anam Mustaqeem, Ali Javed, Tehseen Fatima
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 10 vol.4, 2012 года.
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During past few years, brain tumor segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging system. Brain tumor detection helps in finding the exact size and location of tumor. An efficient algorithm is proposed in this paper for tumor detection based on segmentation and morphological operators. Firstly quality of scanned image is enhanced and then morphological operators are applied to detect the tumor in the scanned image.
Brain Tumor, MRI, Morphological Operators, Segmentation
Короткий адрес: https://sciup.org/15012447
IDR: 15012447
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