Region Segmentation and Salient Object Extraction by VSP and Global Features

Abstract

A new region segmentation and conspicuous object extraction method is constructed based on virtual super pixel and global features. The simulation results are presented. The conspicuous object region was obtained through the following process: (1) extraction of the background regions, (2) calculation of the conspicuity of the segmented region, (3) unification of the low-conspicuity regions to the high ones. The conspicuous objects extracted through the proposed method matched those extracted by humans. Proposed method may be a model of a middle information representation in the brain.