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Seabed Image Texture Segmentation and Classification Based on Nonsubsampled Contourlet Transform

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Advances in Computer Science and Engineering (CSICC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 6))

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Abstract

In this paper, a new split and merge algorithm based on nonsubsampled contourlet transform for automatic segmentation and classification of seafloor images is presented. This transform is a redundant version of contourlet transform which is a new two-dimensional extension of wavelet transform using multiscale and directional filter banks. It allows analysis of images at various scales as well as directions, which effectively capture smooth contours that are the dominant features in seabed images. The introduced redundancy brings simplicity and accuracy for feature calculation. The proposed method provides a fast tool with enough accuracy that can be implemented in a parallel structure for real-time processing. In addition, the simulation results are compared with the results of wavelet-based methods as well as other known techniques to show the effectiveness of the proposed algorithm.

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References

  1. Javidan, R., Jones, I. S. F.: High Resolution Acoustic Imaging of Archaeological Artifacts in Fluid Mud. In: International congress on the application of recent advances in underwater detection and survey techniques to underwater archeology, Turkey (2004).

    Google Scholar 

  2. Javidan, R., Eghbali, H.J.: Seabed Textural Image restoration and Noise Removal Using Genetic Programming. In: 5th International Conference on Marine Researches and Transportation, Italy (2005)

    Google Scholar 

  3. Javidan, R., Eghbali, H.J.: Automatic Seabed Texture Segmentation and Classification Based on Wavelet Transform and Fuzzy Approach. International Journal of the Society for Underwater Technology 27(2), 51–55 (2007)

    Google Scholar 

  4. Tang, X.: Optical and sonar image classification: wavelet packet transform vs. Fourier transform. Computer Vision and Image Understanding 79, 25–46 (2000)

    Article  Google Scholar 

  5. Arivazhagan, S., Ganesan, L.: Texture Classification Using Wavelet Transform. Pattern Recognition Letters 24, 1513–1521, 3197–3203 (2003)

    Article  MATH  Google Scholar 

  6. Mallat, S.: A wavelet Tour of Signal Processing, 2nd edn. Academic Press, London (1999)

    MATH  Google Scholar 

  7. Po, D.D.-Y., Do, M.N.: Directional Multiscale Modeling of Images using the Contourlet Transform. IEEE Transaction on Image Processing 15(6), 1610–1620 (2006)

    Article  MathSciNet  Google Scholar 

  8. Do, M.N., Vetterli, M.: The contourlet transform: an efficient directional multiresolution image representation. IEEE Transactions on Image Processing 14(12), 2091–2106 (2005)

    Article  Google Scholar 

  9. Cunha, A.L., Zhou, J., Do, M.N.: The Nonsubsampled Contourlet Transform: Theory, Design, and Applications. IEEE Transaction on Image Processing (2005)

    Google Scholar 

  10. Mignotte, M., Collet, C., Perez, P., Bouthemy, P.: Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the classification of underwater floor. Computer Vision and Image Understanding 79, 4–24 (2000)

    Article  Google Scholar 

  11. Song, X., Chen, Z., Wen, C., Ge, Q.: Wavelet Transform-based Texture Segmentation Using Feature Smoothing. In: Proceedings of the Second International Conference on Machine Leaning and Cybernetics, Xi’an, November 2-5 (2003)

    Google Scholar 

  12. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. John Wiley and Sons, Inc., Chichester (1998)

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Malek-Ashtar University of Technology, Shiraz, Iran

    Reza Javidan

  2. Dep. of Electrical Engineering, Shiraz University, Shiraz, Iran

    Mohammad A. Masnadi-Shirazi

  3. Dep. of Computer Science and Engineering, Shiraz University, Shiraz, Iran

    Zohreh Azimifar

Authors
  1. Reza Javidan
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  2. Mohammad A. Masnadi-Shirazi
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  3. Zohreh Azimifar
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Editor information

Editors and Affiliations

  1. IPM School of Computer Science, and Department of Computer Engineering, Sharif Unversity of Technology, Azadi Street, Tehran, Iran

    Hamid Sarbazi-Azad

  2. Department of Electrical and computer Engineering, UC Irvine, California, USA

    Behrooz Parhami

  3. Department of Computer Engineering, Sharif University of Technology,, Azadi Street, Tehran, Iran

    Seyed-Ghassem Miremadi

  4. Department of Computer Engineering, Sharif University of Technology, Azadi Street, Tehran, Iran

    Shaahin Hessabi

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© 2008 Springer-Verlag Berlin Heidelberg

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Javidan, R., Masnadi-Shirazi, M.A., Azimifar, Z. (2008). Seabed Image Texture Segmentation and Classification Based on Nonsubsampled Contourlet Transform. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_23

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  • DOI: https://doi.org/10.1007/978-3-540-89985-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89984-6

  • Online ISBN: 978-3-540-89985-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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