In order to orientate the function area in brain

an accurate skull extraction method is needed in fMRI image processing.But

we often miss the weak edge information in the skull fMRI image because of the existing imitations of MRI and conditions.For this problem

an efficient weak edge extraction method is proposed in this paper.On the premise of none of the target information losing

we first use mean-shift clustering algorithm to weaken the noise of the image.Then

based on the distribution features of the filtered images

a histogram enhancement method is used to enhance the skull area.At last

use canny edge detection algorithm to detect the edge of the skull in fMRI image.The experiment results represent that the method can extract the weak edge of the skull in fMRI images efficiently.