Image segmentation algorithm for medical image sequence based on improved GAC model
Yang Shen · Computer Engineering and Applications Journal · 2011
In order to quickly and effectively extract the boundary of the image sequence,an image segmentation algorithm based on improved Geodesic Active Contou(rGAC)model is proposed.In the first image,the initial contour in the internal region of interest can be roughly specified by manual.There are two steps for the method in each image followed.Firstly,the initial contour is obtained by using motion estimation and statistical property.Secondly,the image is segmented by modified geodesic active contour model added by prior information.To reduce the computing time,a region for model evolution is got by manually in the first image,which can automatically adjust the size and position in other images according to the segment result.The experimental results show that the new method can quickly and effectively extract boundary of regions in medical images.