A Novel Graph Structure with Excluded Seed Regions and Expanded Adjacent Nodes for Image Segmentation via Graph Cut

Author:

Kondo Noriya1,Otake Tsuyoshi1,Sato Masatoshi1

Affiliation:

1. Graduate School of Engineering, Tamagawa University

Publisher

Research Institute of Signal Processing, Japan

Reference4 articles.

1. [1] Y. Boykov and M-P Jolly: Interactive graph cuts for optimal boundary region segmentation of objects in N-D images, International Conference on Computer Vision, Vol. I, pp. 105–112, July 2001.

2. [2] K. He, D. Wang, B. Wang, B. Feng and C. Li: Foreground extraction combining Graph Cut and histogram shape analysis, IEEE Access, Vol. 7, pp. 176248–176256, 2019.

3. [3] M. Sato, H. Aomori and T. Otake: Automation and acceleration of Graph Cut based image segmentation utilizing U-Net, Nonlinear Theory and Its Applications, IEICE, Vol. E15-N, No. 1, pp. 54–71, Jan. 2024.

4. [4] N. Kondoh, M. Sato and T. Otake: Accelerated Graph Cut for image segmentation excluding seed region from graph structure, 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 2024.

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