Image segmentation of noisy digital images using extended fuzzy C-means clustering algorithm-Reference-Cited by-同舟云学术

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Image segmentation of noisy digital images using extended fuzzy C-means clustering algorithm

Published:2013 Issue:2/3 Volume:47 Page:198
ISSN:0952-8091
Container-title:International Journal of Computer Applications in Technology
language:en
Short-container-title:IJCAT

Author:

Kaur Prabhjot,Soni A.K.,Gosain Anjana

Publisher

Inderscience Publishers

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems,Software

Cited by 11 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

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2. Research on Segmentation and Extraction of Mountain City Trail Landscape Elements Based on Improved PSPnet;2022 8th International Conference on Hydraulic and Civil Engineering: Deep Space Intelligent Development and Utilization Forum (ICHCE);2022-11-25

3. Benchmark Dataset Creation for Intelligent Surveillance System under Dense Environment (BDISSDE);2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP);2022-11-23

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5. A novel fuzzy approach for segmenting medical images;Soft Computing;2020-10-15

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