Multiple Random Feature Superpixel-Based Fuzzy Clustering for Image Segmentation-Reference-Cited by-同舟云学术

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Multiple Random Feature Superpixel-Based Fuzzy Clustering for Image Segmentation

Published:2023-06-02 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
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Author:

Zhang Chuanbin¹,Chen Long¹,Tian Yifei²,Shi Zhaoyin¹,Wang Yingxu³

Affiliation:

1. University of Macau,Department of Computer and Information Science,Macau,China

2. School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China

3. Shandong Provincial Key Laboratory of Network-Based Intelligent Computing University of Jinan,Jinan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269793/10269887/10270406.pdf?arnumber=10270406

Reference30 articles.

1. Fuzzy subspace clustering noisy image segmentation algorithm with adaptive local variance & non-local information and mean membership linking

2. CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation

3. Normalized cuts and image segmentation;shi;IEEE Trans Pattern Anal Mach In-tell,2000

4. Watersheds in digital spaces: an efficient algorithm based on immersion simulations

5. Multi-view Clustering via Late Fusion Alignment Maximization

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