Abstract
The paper proposes a novel approach to the phantom elimination of sonar images based on image post-processing technique. Firstly, the images are transformed to the polar coordinate to form straight phantom. In the mapped images, the distribution of linear stability is further evaluated so that distance-direction positions of phantoms may be displayed by means of locating peak areas of linear stability. Then, the neighboring peak areas are combined to avoid mutual interferences. Lastly, the local intensity disparity of each peak area is calculated, which the inpainting strategies are taken to fulfill the inpainting work of phantom areas. The algorithm does not require mask images beforehand, and has good inpainting performance and a simple inpainting process.
This work was supported by the Development Foundation of Shanghai Municipal Commission of Science and Technology (11dz1205902).
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Zhu, Q., Li, Y. (2013). Phantom Elimination Based on Linear Stability and Local Intensity Disparity for Sonar Images. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_49
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DOI: https://doi.org/10.1007/978-3-642-42051-1_49
Publisher Name: Springer, Berlin, Heidelberg
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