Underwater target recognition algorithm under the influence of non-uniform illumination

Xiawei Guan; Yaohua Zhao; Yuyao He; Baoqi Li; Xuyang Chen

doi:10.1117/12.2505299

12 December 2018 Underwater target recognition algorithm under the influence of non-uniform illumination

Xiawei Guan, Yaohua Zhao, Yuyao He, Baoqi Li, Xuyang Chen

Proceedings Volume 10850, Ocean Optics and Information Technology; 108500G (2018) https://doi.org/10.1117/12.2505299
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

Aiming at the problem of low accuracy of underwater target recognition due to the introduction of non-uniform illumination during underwater optical detection, this paper proposes an underwater target recognition algorithm under the influence of non-uniform illumination. The algorithm firstly uses the illumination invariant extraction algorithm based on Nonsubsampled Contourlet Transform (NSCT) to extract the essential features of underwater images. Then, the extracted underwater image is used as the input of the Convolutional Neural Network (CNN) to perform target recognition. The experimental results show that the recognition accuracy of the underwater target is 9% higher than the source image, reaching 96%.

Citation Download Citation

Xiawei Guan, Yaohua Zhao, Yuyao He, Baoqi Li, and Xuyang Chen "Underwater target recognition algorithm under the influence of non-uniform illumination", Proc. SPIE 10850, Ocean Optics and Information Technology, 108500G (12 December 2018); https://doi.org/10.1117/12.2505299

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