Cosegmentation of multiple image groups

Fanman Meng, Jianfei Cai, Hongliang Li

Abstract: Highlights•In this paper, we propose a multi-group image cosegmentation framework.•The multi-group cosegmentation task is formulated as an energy minimization problem.•We adapt the Expectation-Maximization algorithm (EM) to solve the optimization.•We apply the proposed framework on three practical scenarios, including image complexity based cosegmentation, multiple training group cosegmentation and multiple noise image group cosegmentation.•The experimental results show that the proposed method is able to achieve larger IOU values and better precision, compared with the state-of-the-art cosegmentation methods.