Image co-segmentation via active contours

Fanman Meng, Hongliang Li, Guanghui Liu

Abstract: In this paper, a new co-segmentation model by incorporating active contours based method and rewarding strategy is represented. We first generate co-segmentation energy function from two aspects. One is foreground similarity between image pairs. The other is background consistency in each single image. Then, we optimize the energy function through a mutual optimization approach. We verify the proposed method on the images commonly used in co-segmentation research. Experimental results demonstrate the effectiveness of our method.