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A weight calculation method for multiscale normalized cut image segmentation
Author(s): Koya Kato; Kazu Mishiba; Katsuya Kondo
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Paper Abstract

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.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110492J (22 March 2019); doi: 10.1117/12.2522575
Show Author Affiliations
Koya Kato, Tottori Univ. (Japan)
Kazu Mishiba, Tottori Univ. (Japan)
Katsuya Kondo, Tottori Univ. (Japan)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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