GrabCut is an algorithm based on the energy optimization algorithm. It uses color and texture features to extract the target from the background image. However, the processing speed of this method is slower than we expect. In order to accelerate the image segmentation, this paper presents a GrabCut image segmentation method based on wavelet transform. The proposed method compress the original image based on wavelet transform to reduce the image resolution and applies the GrabCut algorithm on it. Then identify the initial value of the original image with the convergent target area, and the algorithm applies the last GrabCut iteration on original image. Experimental results show that the algorithm improves the extraction rate of the target image, and keeps the basic characteristics of the target image unchanged.