Semi-automatic segmentation by a double labeling method

Abstract

This paper proposes a semi-automatic segmentation algorithm using a double labeling method. Semi-automatic segmentation consists of intra-frame segmentation and inter-frame segmentation. For intra-frame segmentation, we obtain a globally labeled mask from the boundary information provided by the user and a locally labeled mask from the intensity information of the image itself. By merging the globally and locally labeled masks, we complete the intra-frame segmentation operation. Inter-frame segmentation is accomplished by tracking the video objects (VOs) that are defined from intra-frame segmentation. Semi-automatic segmentation using the double labeling method resolves the object correspondence problem, which is inherent in automatic segmentation.