Modified Fast and Robust Fuzzy C-means Algorithm for Flood Damage Assessment using Optimal Image Segmentation Cluster Number-Reference-Cited by-同舟云学术

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Modified Fast and Robust Fuzzy C-means Algorithm for Flood Damage Assessment using Optimal Image Segmentation Cluster Number

Published:2023-01-03 Issue: Volume: Page:
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Container-title:2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)
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Author:

Barrion Marck Herzon C.¹,Bandala Argel A.¹

Affiliation:

1. De La Salle University-Manila,Department of Electronics and Computer Engineering,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10035563/10035540/10035598.pdf?arnumber=10035598

Reference23 articles.

1. Multiple-Surface-Approximation-Based FCM With Interval Memberships for Bias Correction and Segmentation of Brain MRI

2. An image segmentation approach based on fuzzy c-means and dynamic particle swarm optimization algorithm

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. UAV Image Clustering Detection of Floating Objects on Floods using Hybrid Firefly Algorithm and Particle Swarm Optimization;2023 IEEE Region 10 Symposium (TENSYMP);2023-09-06

2. VSFCM: A Novel Viewpoint-Driven Subspace Fuzzy C-Means Algorithm;Applied Sciences;2023-05-22

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