An adaptive image enhancement method for a recirculating aquaculture system

文献类型： 外文期刊

第一作者： Zhou, Chao

作者： Zhou, Chao;Yang, Xinting;Lin, Kai;Xu, Daming;Guo, Qiang;Sun, Chuanheng;Zhou, Chao;Yang, Xinting;Lin, Kai;Xu, Daming;Guo, Qiang;Sun, Chuanheng;Zhou, Chao;Yang, Xinting;Lin, Kai;Xu, Daming;Guo, Qiang;Sun, Chuanheng;Zhou, Chao;Zhang, Baihai

作者机构：

期刊名称：SCIENTIFIC REPORTS （ 影响因子：4.379； 五年影响因子：5.133 ）

ISSN： 2045-2322

年卷期： 2017 年 7 卷

页码：

收录情况： SCI

摘要： 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 (alpha and beta) 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.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序