Spectral Residual Based Underwater Animal Detection

Zhe Chen; Jian Qiang Gao; Jie Shen; Hui Bin Wang

doi:10.4028/www.scientific.net/AMR.850-851.970

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 850-851Spectral Residual Based Underwater Animal...

Spectral Residual Based Underwater Animal Detection

Abstract:

In this paper, the spectral residual method is applied in the underwater image data for detecting the animals. The system is designed to assist the underwater monitor system survey operations, specialized to the task of animal detection. Firstly, the regularity for the frequency spectrum of the images collected in the underwater world is discovered by the statistical analysis. Then we transform the input image into the spatial frequency domain and singularities including in the frequency curve is extracted by average filtering. Finally, these singularities are inverse transformed from the frequency domain into spatial domain and the saliency area is detected. Experimental results, which have been performed on a set of real underwater images acquired in different environments, demonstrate the robustness and the accuracy of the proposed system in the task of underwater animal detection.

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Periodical:

Advanced Materials Research (Volumes 850-851)

Pages:

970-973

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.850-851.970

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Online since:

December 2013

Authors:

Zhe Chen, Jian Qiang Gao, Jie Shen, Hui Bin Wang*

Keywords:

Fourier Transform, Spectral Residual, Underwater Animal Detection, Underwater Image

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