Nonparametric K-means clustering-based adaptive unsupervised colour image segmentation-Reference-Cited by-同舟云学术

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Nonparametric K-means clustering-based adaptive unsupervised colour image segmentation

Published:2024-02-28 Issue:1 Volume:27 Page:
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Khan Zubair^ORCID,Yang Jie

Funder

Natural Science Foundation of Shanghai

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10044-024-01228-5.pdf

Reference48 articles.

1. Mittal H, Pandey AC, Saraswat M, Kumar S, Pal R, Modwel G (2022) A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets. Multimedia Tools Appl 81(24):35001–35026

2. Xia Y, Nie L, Zhang L, Yang Y, Hong R, Li X (2016) Weakly supervised multilabel clustering and its applications in computer vision. IEEE Trans Cybern 46(12):3220–3232

3. Minaee S, Boykov Y, Porikli F, Plaza A, Kehtarnavaz N, Terzopoulos D (2022) Image segmentation using deep learning: a survey. IEEE Trans Pattern Anal Mach Intell 44(7):3523–3542. https://doi.org/10.1109/TPAMI.2021.3059968

4. Chen XW, Huang T (2003) Facial expression recognition: a clustering-based approach. Pattern Recognit Lett 24(9–10):1295–1302

5. Jain AK (2010) Data clustering: 50 years beyond k-means. Pattern Recognit Lett 31(8):651–666

Cited by 1 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. Research on Color Segmentation Algorithms in Visual Communication Technology for Human-Computer Interaction Systems;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

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