An adaptive image enhancement method for a recirculating aquaculture system

Abstract Due to the low and uneven illumination that is typical of a recirculating aquaculture system (RAS), visible and near infrared (NIR) images collected from RASs always have low brightness and contrast. To resolve this issue, this paper proposes an image enhancement method based on the Multi-S...

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Autores principales:	Chao Zhou, Xinting Yang, Baihai Zhang, Kai Lin, Daming Xu, Qiang Guo, Chuanheng Sun
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d979efcdac8c4589a09c2ffa8c508711
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spelling	oai:doaj.org-article:d979efcdac8c4589a09c2ffa8c5087112021-12-02T11:52:20ZAn adaptive image enhancement method for a recirculating aquaculture system10.1038/s41598-017-06538-92045-2322https://doaj.org/article/d979efcdac8c4589a09c2ffa8c5087112017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06538-9https://doaj.org/toc/2045-2322Abstract Due to the low and uneven illumination that is typical of a recirculating aquaculture system (RAS), visible and near infrared (NIR) images collected from RASs always have low brightness and contrast. To resolve this issue, this paper proposes an image enhancement method based on the Multi-Scale Retinex (MSR) algorithm and a greyscale nonlinear transformation. First, the images are processed using the MSR algorithm to eliminate the influence of low and uneven illumination. Then, the normalized incomplete Beta function is used to perform a greyscale nonlinear transformation. The function’s optimal parameters (α and β) are automatically selected by the particle swarm optimization (PSO) algorithm based on an image contrast measurement function. This adaptive image enhancement method is compared with other classic enhancement methods. The results show that the proposed method greatly improves the image contrast and highlights dark areas, which is helpful during further analysis of these images.Chao ZhouXinting YangBaihai ZhangKai LinDaming XuQiang GuoChuanheng SunNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chao Zhou Xinting Yang Baihai Zhang Kai Lin Daming Xu Qiang Guo Chuanheng Sun An adaptive image enhancement method for a recirculating aquaculture system
description	Abstract Due to the low and uneven illumination that is typical of a recirculating aquaculture system (RAS), visible and near infrared (NIR) images collected from RASs always have low brightness and contrast. To resolve this issue, this paper proposes an image enhancement method based on the Multi-Scale Retinex (MSR) algorithm and a greyscale nonlinear transformation. First, the images are processed using the MSR algorithm to eliminate the influence of low and uneven illumination. Then, the normalized incomplete Beta function is used to perform a greyscale nonlinear transformation. The function’s optimal parameters (α and β) are automatically selected by the particle swarm optimization (PSO) algorithm based on an image contrast measurement function. This adaptive image enhancement method is compared with other classic enhancement methods. The results show that the proposed method greatly improves the image contrast and highlights dark areas, which is helpful during further analysis of these images.
format	article
author	Chao Zhou Xinting Yang Baihai Zhang Kai Lin Daming Xu Qiang Guo Chuanheng Sun
author_facet	Chao Zhou Xinting Yang Baihai Zhang Kai Lin Daming Xu Qiang Guo Chuanheng Sun
author_sort	Chao Zhou
title	An adaptive image enhancement method for a recirculating aquaculture system
title_short	An adaptive image enhancement method for a recirculating aquaculture system
title_full	An adaptive image enhancement method for a recirculating aquaculture system
title_fullStr	An adaptive image enhancement method for a recirculating aquaculture system
title_full_unstemmed	An adaptive image enhancement method for a recirculating aquaculture system
title_sort	adaptive image enhancement method for a recirculating aquaculture system
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/d979efcdac8c4589a09c2ffa8c508711
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An adaptive image enhancement method for a recirculating aquaculture system

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