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Vol. 169, Issue 4, April 2014, pp. 33-41




Polarization Calculation and Underwater Target Detection Inspired
by Biological Visual Imaging

1 Jie Shen, 1, * Huibin Wang, 1 Zhe Chen, 2 Yi Wei, 1 Yurong Wu

1 College of Computer and Information Engineering, Hohai University, Nanjing, 210098, China,
2 Institute of Communication Engineering, PLA University of Science and Technology, Nanjing, 210007, China

* E-mail: hbwang@hhu.edu.cn


Received: 22 January 2014 /Accepted: 7 March 2014 /Published: 30 April 2014

Digital Sensors and Sensor Sysstems


Abstract: In challenging underwater environments, the polarization parameter maps calculated by the Stokes model are characterized by the high noise and error, harassing the underwater target detection tasks. In order to solve this problem, this paper proposes a novel bionic polarization calculation and underwater target detection method by modeling the visual system of mantis shrimps. This system includes many operators including a polarization-opposition calculation, a factor optimization and a visual neural network model. A calibration learning method is proposed to search the optimal value of the factors in the linear subtraction model. Finally, a six-channel visual neural network model is proposed to detect the underwater targets. Experimental results proved that the maps produced by the polarization-opposition parameter is more accurate and have lower noise than that produced by the Stokes parameter, achieving better performance in underwater target detection tasks.


Keywords: Polarization image, Target detection, Mantis shrimp vision, Polarization-opposition parameter, Polarization calculation.


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