Detection of brain tumor in medical images
An efficient detection of brain tumor from cerebral MRI images is introduced by adopting mathematical morphology to increase the contrast in MRI images and applying Wavelet Transform in the segmentation process to decompose MRI images.
Abstract
This paper introduces an efficient detection of brain tumor from cerebral MRI images. The methodology consists of three steps: enhancement, segmentation and classification. To improve the quality of images and limit the risk of distinct regions fusion in the segmentation phase an enhancement process is applied. We adopt mathematical morphology to increase the contrast in MRI images. Then we apply Wavelet Transform in the segmentation process to decompose MRI images. At last, the k-means algorithm is implemented to extract the suspicious regions or tumors. Some of experimental results on brain images show the feasibility and the performance of the proposed approach.