Review on Detection and segmentation of brain tumor using watershed and thresholding algorithmJournal: Iord journal of science & technology (Vol.01, No. 02)
Publication Date: 2014-02-10
Authors : R. G. Selkar; M. N. Thakare; B. J. Chilke;
Page : 11-14
Keywords : Brain tumor; MRI; Morphological operator; Segmentation.;
The main objective is to detect and segment the brain tumor using watershed and thresholding algorithm. 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, shape, boundary extraction and location of tumor. The system will consist of three stages to detect and segment a brain tumor. An efficient algorithm will proposed for tumor detection based on segmentation and morphological operators. Firstly quality of scanned image will enhanced and then morphological operators will be applied to detect the tumor in the scanned image. To improve the quality of images and limit the risk of distinct regions fusion in the segmentation phase an enhancement process will be applied. It will be simulate on Matlab Software.
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Last modified: 2014-07-14 00:18:33