Adaptive multilevel thresholding based on multiobjective artificial bee colony optimization for noisy image segmentation-Reference-Cited by-同舟云学术

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Adaptive multilevel thresholding based on multiobjective artificial bee colony optimization for noisy image segmentation

Published:2020-07-17 Issue:1 Volume:39 Page:305-323
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhao Feng¹²,Xie Min¹²,Liu Hanqiang³,Fan Jiulun¹²,Lan Rong¹²,Xie Wen¹²,Zheng Yue¹²

Affiliation:

1. Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi’an, P. R. China

2. School of Communications and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, P. R. China

3. School of Computer Science, Shaanxi Normal University, Xi’an, P. R. China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference32 articles.

1. Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms;Bhandari;Expert Syst Appl,2015

2. A novel color image multilevel thresholding based segmentation using nature inspired optimization algorithms;Bhandari;Expert Syst Appl,2016

3. A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding;Akay;Appl Soft Comput,2013

4. A non-local fuzzy segmentation method: application to brain MRI;Caldairoua;Pattern Recogn,2010

5. Colour image segmentation using fuzzy clustering techniques and competitive neural network;Sowmya;Appl Soft Comput,2011

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2. Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma;Biomedical Signal Processing and Control;2023-05

3. Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation;Computers in Biology and Medicine;2022-09

4. An improved segmentation technique for multilevel thresholding of crop image using cuckoo search algorithm based on recursive minimum cross entropy;IET Signal Processing;2022-08

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