Joint learning framework of superpixel generation and fuzzy sparse subspace clustering for color image segmentation-Reference-Cited by-同舟云学术

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Joint learning framework of superpixel generation and fuzzy sparse subspace clustering for color image segmentation

Published:2024-09 Issue: Volume:222 Page:109515
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Wu Chengmao,Zhao Jingtian^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

Publisher

Elsevier BV

Reference53 articles.

1. An implementation of K-means clustering for efficient image segmentation;Venkatachalam;IEEE Int. Conf. Commun. Syst. Netw. (CSNT),2021

2. Color image segmentation using histogram thresholding – Fuzzy C-means hybrid approach;Tan;Pattern. Recognit.,2011

3. Improved superpixel-based fast fuzzy C-means clustering for image segmentation;Wu,2019

4. Superpixel-Based segmentation for 3D prostate MR images;Tian;IEEE Trans. Med. Imaging.,2016

5. Fuzzy superpixel-based image segmentation;Ng;Pattern. Recognit.,2023

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. Data and knowledge-driven dual surrogate-assisted multi-objective rough fuzzy clustering algorithm for image segmentation;Engineering Applications of Artificial Intelligence;2024-11

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