Illumination correction via support vector regression based on improved whale optimization algorithm

Variations in illumination lead to serious errors in the evaluation of chromatic aberration. We propose an illumination correction model based on the opposition‐based learning improved whale optimization algorithm for support vector regression optimization, named "OBL‐IWOA‐SVR." Because th...

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Veröffentlicht in:	Color research and application Jg. 46; H. 2; S. 303 - 318
Hauptverfasser:	Wang, Chao, Zhu, Zefei, Chen, Sheng, Yang, Junyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.04.2021 Wiley Subscription Services, Inc
Schlagworte:	Accuracy Adaptive algorithms Convergence Error analysis Illumination illumination correction Machine learning Mathematical models opposition‐based learning Optimization Optimization algorithms Parameters Population Regression analysis Support vector machines support vector regression whale optimization algorithm
ISSN:	0361-2317, 1520-6378
Online-Zugang:	Volltext
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