OBJECT SEGMENTATION USING BLOCK CLUSTERING BASED ON AUTOMATIC INITIAL REGION OF INTEREST ESTIMATION

摘要

The present invention relates to an automatic object segmentation method for automatically segmenting an object from a background using a block clustering algorithm. The automatic object segmentation method is capable of improving user′s convenience and efficiency by automation to supplement the weakness of providing information on the object by a user in the existing GrabCut implementation. The automatic object segmentation method of the present invention comprises an object interest region estimation step of estimating an interest region of an object for image information including segmentation information of a background and the object. In the object interest region estimation step, cluster dispersion information of an image is analyzed to distinguish the cluster according to the size of a dispersion region, and the image is segmented into the predetermined number of blocks and is determined as an object cluster and a background cluster depending on the object area and the background area within an individual block, and a color mean value of the block.