In this paper, we propose a weight calculation method to solve a problem of Multiscale Normalized Cut (MNCut) image segmentation. Since Multiscale is incorporated with various information, robust segmentation results can be expected for various RGB images. However, MNCut has a problem that if the foreground or background is separated into two or more regions, they may be classified into different labels. To solve this problem, we use Matting Laplacian2 for edge weight calculation. In the experimental results, the proposed method obtained the results closer to the ground truth.
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