Space-associated segmentation for multiforeground/background images

摘要

Abstract: Multi-foregrounds-backgrounds (MFsBs) images involve histogram- interlaces and space-neighboring foregrounds and backgrounds. In this paper, a concept of 'dummy background' is proposed to represent the 'perceived' background, instead of multibackgrounds. Also, the dummy background corresponds to scaling the morphological distance of foregrounds and backgrounds, which improve the space-association capability of traditional segmentation algorithm. Experimental results demonstrate that more better segmentation is accomplished by less time- consuming.!3