Efficient image segmentation performance of gray-level image using normalized graph cut based neutrosophic membership function-Reference-Cited by-同舟云学术

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Efficient image segmentation performance of gray-level image using normalized graph cut based neutrosophic membership function

Published:2021-08-09 Issue:04 Volume:30 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Karthick Palanisamy¹,Narayanamoorthy Samayan²,Maheswari Sengottaiyan³,Sowmiya Suriyakumaran⁴

Affiliation:

1. Bannari Amman Institute of Technology, Department of Mathematics, Sathyamangalam, Tamilnadu

2. Bharathiar University, Department of Mathematics, Coimbatore, Tamilnadu

3. M. Kumarasamy College of Engineering, Department of Mathematics, Karur, Tamilnadu

4. Karpagam Academy of Higher Education, Department of Mathematics, Coimbatore, Tamilnadu

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches;Computer Modeling in Engineering & Sciences;2024

2. Investigations of color image segmentation based on connectivity measure, shape priority and normalized fuzzy graph cut;Applied Soft Computing;2023-05

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