In order to realize automatic segmentation of image and solve automatic selection problem of mark points in random walk algorithm

propose an automatic segmentation algorithm combinaed significance

pattern mining algorithms and random walk. Calculate saliency map of image

primarily determine area of interested target.Select preliminary mark points for the random walk using pattern mining algorithms; combine with significant target location information for further selection of mark points

divide mark points into foreground and background mark points. Segmentation of the input image is carried out using random walk algorithm. Experimental results show that the algorithm can automatically and accurately segment images and has a certain application value in image batch segmentation processing.