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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References
Lei, B., Yang, K.D., Wang, Y.: Optimal sidelobe reduction of matched filter for bistatic sonar. In: 2012 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), Zhangjiajie, China, pp. 469–472 (March 2012)
Sun, H.H., et al.: Robust minimum sidelobe beamforming for spherical microphone arrays. IEEE Transactions on Audio, Speech, and Language Processing 19(4), 1045–1051 (2011)
Wang, Y., et al.: Robust minimum sidelobe beamforming in mode space for circular arrays. In: 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC), Hong Kong, pp. 300–304 (2012)
Liu, Y., Wan, Q.: Sidelobe suppression for robust capon beamforming with mainlobe-to-sidelobe power ratio maximization. IEEE Antennas and Wireless Propagation Letters 11, 1218–1221 (2012)
Huang, J.Y.Y., Wang, P., Wan, Q.: Sidelobe suppression for blind adaptive beamforming with sparse constraint. IEEE Communications Letters 15(3), 343–345 (2011)
Hong, Z.Q., et al.: Adaptive beamforming for MIMO radar with sidelobe control based on second order cone programming. In: 2012 International Conference on Information Science and Technology (ICIST), Wuhan, China, pp. 384–388 (2012)
Berbakov, L., Anton-Haro, C., Matamoros, J.: Distributed beamforming with sidelobe control using one bit of feedback. In: 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), Budapest, Hungary, pp. 1–5 (2011)
Sakhaei, S.M.: Optimum beamforming for sidelobe reduction in ultrasound imaging. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 59(4), 799–805 (2012)
Belfiori, F., et al.: Side-lobe suppression techniques for a uniform circular array. In: 2010 European Radar Conference (EuRAD), Paris, France, pp. 113–116 (2010)
Nosrati, M., Karimi, R.: Detection of circular shapes from impulse noisy images using median and laplacian filter and circular hough transform. In: 2011 8th International Conference on Electrical Engineering Computing Science and Automatic Control (CCE), Merida, Mexico, pp. 1–5 (2011)
Lorenzi, L., Melgani, F., Mercier, G.: Inpainting Strategies for Reconstruction of Missing Data in VHR Images. IEEE Geoscience and Remote Sensing Letters 8(5), 914–918 (2011)
Telea, A.: An image inpainting technique based on the fast marching method. Journal of Graphics Tools 9(1), 25–36 (2004)
Bertalmio, M., Bertozzi, A.L., Sapiro, G.: Navier-stokes: fluid dynamics, and image and video inpainting. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 355–362 (2001)
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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
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