International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 4, No. 10, 28 Sep. 2012
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An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation
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Author(s)
Index Terms
Brain Tumor, MRI, Morphological Operators, Segmentation
Abstract
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.
Cite This Paper
Anam Mustaqeem,Ali Javed,Tehseen Fatima,"An Efficient Brain Tumor Detection Algorithm Using Watershed & Thresholding Based Segmentation", IJIGSP, vol.4, no.10, pp.34-39, 2012. DOI: 10.5815/ijigsp.2012.10.05
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