Illumination correction of dyed fabrics method using rotation forest-based ensemble particle swarm optimization and sparse least squares support vector regression-Reference-Cited by-同舟云学术

Illumination correction of dyed fabrics method using rotation forest-based ensemble particle swarm optimization and sparse least squares support vector regression

Published:2018-08-03 Issue:1 Volume:44 Page:73-87
ISSN:0361-2317
Container-title:Color Research & Application
language:en
Short-container-title:Color Res Appl

Author:

Zhou Zhiyu¹^ORCID,Gao Xu¹,Zhu Zefei²,Hu Xudong³

Affiliation:

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

2. School of Mechanical Engineering; Hangzhou Dianzi University; Hangzhou China

3. The Research Centre of Modern Textile Machinery Technology, Ministry of Education; Zhejiang Sci-Tech University; Hangzhou China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Wiley

Subject

General Chemical Engineering,General Chemistry,Human Factors and Ergonomics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/col.22262/fullpdf

Reference36 articles.

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2. Evaluating combinational illumination estimation methods on real-world images;Li;IEEE Trans Image Process,2014

3. Hyper spectral and Lidar intensity data fusion: a framework for the rigorous correction of illumination, anisotropic effects, and cross calibration;Brell;IEEE Trans Geoscience Remote Sens,2017

4. Iterative illumination correction with implicit regularization;Al-Tam;Signal Image Video Process,2016

5. Edge-based color constancy;Van De Weijer;IEEE Trans Image Process,2007

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