A Method of Detecting Wave Grade Based on Visual Image Taken by USV

Kang Ke Liu; Jian Hua Wang

doi:10.4028/www.scientific.net/AMM.291-294.2437

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 291-294A Method of Detecting Wave Grade Based on Visual...

A Method of Detecting Wave Grade Based on Visual Image Taken by USV

Abstract:

Visual perception can provide environmental information for the control strategy of the unmanned surface vehicle, and the detection of wave grade is an important aspect of visual perception. Based on the theory of Fourier transform, this paper analyzes frequency domain characteristics of the wave image in different light and sea state. According to the relationship between different rectangle ring energy percentage, a method of judging wave grade is proposed. Firstly, the characteristic of the wave image is enhanced through histogram equalization; then, the image is transformed to frequency domain by FT; thirdly, the image features are extracted by the method of rectangle ring energy percentage; finally, waves grade are judged by the relationship between the first and the second stage rectangle ring energy percentage. The experimental results show that this method can effectively detect the wave grade and have the advantage that light condition has less effect on it.

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Periodical:

Applied Mechanics and Materials (Volumes 291-294)

Pages:

2437-2441

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.291-294.2437

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Online since:

February 2013

Authors:

Kang Ke Liu, Jian Hua Wang

Keywords:

Fourier Transform, Rectangle Ring Energy Percentage, Surface Wave Grade, Unmanned Surface Vehicle

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References

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