Mri Brain Tumour Detection by Histogram and Segmentation by Modified Gvf Model

A new method of image segmentation is proposed in this paper which combines histogram thresholding, modified gradient vector field and morphological operators. The nonbrain regions are removed using mathematical morphological operators. Histogram thresholding is used to detect whether the brain is normal or abnormal i.e., it is used to detect the suspicious region or tumor. If the brain is abnormal then the modified GVF is used to detect the contour of the tumor. Else, if the brain is normal then no need to proceed to the segmentation step. Therefore, the time consumed for segmentation can be minimized. The proposed method is computationally efficient. It is successfully applied to many MRI brain images to detect the tumor and its geometrical dimension. Finally the performance measures are validated with those of human expert segmentation.