Weak edge detection using Mean-shift filtering and histogram enhancement
Mean-shift滤波和直方图增强的图像弱边缘提取

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.