Abstract
In this paper, a new method for detecting various objects that can be risks to safety navigation in sea environment is proposed. By analyzing Infrared(IR) images obtained from various sea environments, we could find out that object regions include both horizontal and vertical direction edges while background regions of sea surface mainly include vertical direction edges. Therefore, we present an approach to detecting object regions considering horizontal and vertical edges. To this end, in the first step, image enhancement is performed by suppressing noises such as sea glint and complex clutters using a statistical filter. In the second step, a horizontal edge map and a vertical edge map are generated by Discrete Wavelet Transform. Then, a saliency map integrating the horizontal and the vertical edge maps is generated. Finally, object regions are detected by an adaptive thresholding method.
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Jeong, J., Park, K.T., Park, GK. (2014). Robust Object Detection in Sea Environment Based on DWT. In: Kim, S., Jung, JW., Kubota, N. (eds) Soft Computing in Intelligent Control. Advances in Intelligent Systems and Computing, vol 272. Springer, Cham. https://doi.org/10.1007/978-3-319-05570-1_5
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DOI: https://doi.org/10.1007/978-3-319-05570-1_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05569-5
Online ISBN: 978-3-319-05570-1
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