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Authors: Ru Xu 1 ; Wei Zhang 2 and Guangfang Yang 2

Affiliations: 1 Yangtze Normal University, China ; 2 Chongqing University, China

Keyword(s): Image Processing, Level set method, Signed pressure force, Legendre polynomials, Edge stopping function.

Abstract: In the paper, a fast level set for nuclei images is proposed. It is performed with a novel method, mainly combining idea of signed pressure force function with Legendre polynomials. The advantages of the proposed method are as follows. On the one hand, a controlled signed pressure force function based on 1-D Legendre polynomials (LPSPF+) can stop the final contours at blurred and multiple objects edges, especially for nuclei images segmentation. On the other hand, we set multiple ball contour as initial contour to automatically detect the exterior and interior boundaries in the image. Ultimately, an improved edge stopping function is applied to fast and robustly capture the edge of multiple regions of interest (ROI). Experimental results demonstrate that our method is higher and faster accuracy than other models on nuclei images and other images with large size, or low-contrast.

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Paper citation in several formats:
Xu, R.; Zhang, W. and Yang, G. (2019). A Fast Level Set Based on New Signed Pressure Force Function for Nuclei Images Segmentation. In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC; ISBN 978-989-758-357-5, SciTePress, pages 10-17. DOI: 10.5220/0008096000100017

@conference{ctisc19,
author={Ru Xu. and Wei Zhang. and Guangfang Yang.},
title={A Fast Level Set Based on New Signed Pressure Force Function for Nuclei Images Segmentation},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC},
year={2019},
pages={10-17},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008096000100017},
isbn={978-989-758-357-5},
}

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC
TI - A Fast Level Set Based on New Signed Pressure Force Function for Nuclei Images Segmentation
SN - 978-989-758-357-5
AU - Xu, R.
AU - Zhang, W.
AU - Yang, G.
PY - 2019
SP - 10
EP - 17
DO - 10.5220/0008096000100017
PB - SciTePress