A Morphological Filtration Approach Towards Brain Tumor Segmentation

The presented work through this paper is outcome of need for correct brain tumor identification, which is done here through a handy approach of segmenting tumor portion from different MRI slices taken of different patients. Tumor, which is of swelling appearance, is abruptly growth of cells in brain, causes a painful death. It’s correct diagnosis and within less time is necessary, which has been tried to achieve through this paper. Paper shows serially connected steps of image process, consisting pre-processing using thresholding through morphological opening, watershed segmentation, entropy filtration, and again morphological opening for tumor extraction, performed via MatLab software. Idea behind is using high intensity value of image which is normally tumor indication. This algorithm is very efficient for best case of tumors and equally helpful for other cases, as area, centroid, pixel info and condition can be determined through present work.