Illumination correction of dyed fabric based on extreme learning machine with improved ant lion optimizer-Reference-Cited by-同舟云学术

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Illumination correction of dyed fabric based on extreme learning machine with improved ant lion optimizer

Published:2022-02-21 Issue:4 Volume:47 Page:1065-1077
ISSN:0361-2317
Container-title:Color Research & Application
language:en
Short-container-title:Color Research & Application

Author:

Zhou Zhiyu¹^ORCID,Ji Haodong¹,Yang Xingfan¹

Affiliation:

1. School of Information Science and Technology Zhejiang Sci‐Tech University Hangzhou China

Funder

Research and Development

Publisher

Wiley

Subject

General Chemical Engineering,General Chemistry,Human Factors and Ergonomics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/col.22785

Reference24 articles.

1. Computational Color Constancy: Survey and Experiments

2. Improved single-illumination estimation accuracy via redefining the illuminant-invariant descriptor and the grey pixels

3. The Retinex Theory of Color Vision

4. A spatial processor model for object colour perception

Cited by 4 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. Regularized Extreme Learning Machine Based on Remora Optimization Algorithm for Printed Matter Illumination Correction;IEEE Access;2024

2. Evolving regularised random vector functional link by seagull optimisation algorithm for yarn‐dyed fabric colour difference classification;Coloration Technology;2023-09-22

3. An effective chaotic maps image encryption based on metaheuristic optimizers;The Journal of Supercomputing;2023-06-23

4. Underwater image illumination estimation via an evolving extreme learning machine by an improved salp swarm algorithm;Journal of the Optical Society of America A;2023-02-21

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