Brain Tumor Segmentation and Extraction of MR Images Basedon Improved Watershed Transform
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: Brain tumor extraction in magnetic resonance imaging (MRI) has becoming an emergent researcharea in the field of medical imaging system. Extraction involves detection, localization, tracking, enhancementand recognition of the tumor from the MR brain images. Brain tumor extraction helps in finding the exact sizeand location of tumor. The watershed transform is a popular and has interesting properties that make it usefulfor many image segmentation applications. The intuitive description of this transform is quite simple, can beparallelized and always produces a complete division of the medical images. One of the important drawbacksassociated to the watershed transform is the over segmentation that commonly results in brain images. We present an improvement to the watershed transform in this paper for the extraction of brain tumor based onsegmentation and morphological operator. The tumor may be benign, pre-malignant or malignant and it needsmedical support for further classification.
Authors and Affiliations
J. Mehena, , M. C. Adhikary
Keywords
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