Foreground Extraction Based on the Brightness Perception

Abstract:

Foreground extraction is to separate the objects of interest based on the whole image cognition. In this paper, a foreground extraction model based on brightness perception is proposed by combining the visual brightness perception and level set method. Based on the brightness' visual correlation of pixel pairs, combining the similarity within the visual region and the difference among regions, the brightness perception energy functional is designed. The visual region is obtained by optimizing the energy function using Rayleigh entropy, and the initial curve evolves to the foreground contour by using the characteristics of the visual region. Compared with the traditional algorithm, the proposed model uses the image visual features to extract the foreground from the overall cognition of the image and improves the foreground extraction quality of the level set method.