Paper
22 March 2019 A weight calculation method for multiscale normalized cut image segmentation
Koya Kato, Kazu Mishiba, Katsuya Kondo
Author Affiliations +
Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110492J (2019) https://doi.org/10.1117/12.2522575
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore
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.
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Koya Kato, Kazu Mishiba, and Katsuya Kondo "A weight calculation method for multiscale normalized cut image segmentation", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110492J (22 March 2019); https://doi.org/10.1117/12.2522575
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KEYWORDS
Image segmentation

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