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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 7, Iss. 7 — Jun. 25, 2012

Saliency detection via textural contrast

Wonjun Kim and Changick Kim  »View Author Affiliations

Optics Letters, Vol. 37, Issue 9, pp. 1550-1552 (2012)

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We present a new approach for visual saliency detection from various natural images. It is inspired by our careful observation that the human visual system (HVS) responds sensitively and quickly to high textural contrast, derived from the discriminative directional pattern from its surroundings as well as the noticeable luminance difference, for understanding a given scene. By formulating such textural contrast within a multiscale framework, we construct a more reliable saliency map even without color information when compared to most previous approaches still suffering from the complex and cluttered background. The proposed method has been extensively tested on a wide range of natural images, and experimental results show that the proposed scheme is effective in detecting visual saliency compared to various state-of-the-art methods.

© 2012 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition

ToC Category:
Image Processing

Original Manuscript: December 5, 2011
Manuscript Accepted: March 5, 2012
Published: May 1, 2012

Virtual Issues
Vol. 7, Iss. 7 Virtual Journal for Biomedical Optics

Wonjun Kim and Changick Kim, "Saliency detection via textural contrast," Opt. Lett. 37, 1550-1552 (2012)

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  1. L. Itti, C. Koch, and E. Niebur, IEEE Trans. Pattern Anal. Machine Intell. 20, 1254 (1998). [CrossRef]
  2. Y. F. Ma and H. J. Zhang, in Proceedings of ACM International Conference on Multimedia, 374 (2003).
  3. J. Harel, C. Koch, and P. Perona, in Proceedings of Advances in Neural Informational Processing Systems, 545 (2007).
  4. R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk, Proc. IEEE, 1597 (2009).
  5. S. Goferman, L. Z. Manor, and A. Tal, Proc. IEEE, 2376 (2010).
  6. Y. Xu, Y. Zhao, C. Jin, J. Qu, L. Liu, and X. Sun, Opt. Lett. 35, 475 (2010). [CrossRef]
  7. W. Kim, C. Jung, and C. Kim, IEEE Trans. Circuits Syst. Video Technol. 21, 446 (2011). [CrossRef]
  8. D. Gao, V. Mahadevan, and N. Vasconcelos, J. Vision 8, 13 (2008). [CrossRef]
  9. X. Hou and L. Zhang, Proc. IEEE, 1 (2007).
  10. C. Guo and L. Zhang, IEEE Trans. Image Process. 15, 185 (2010).
  11. T. Liu, J. Sun, N. -N. Zheng, X. Tang, and H. -Y. Shum, Proc. IEEE, 1 (2007).
  12. M. Everingham, L. V. Gool, C. Williams, J. Winn, and A. Zisserman, Int. J. Comput. Vis., 88, 303 (2010). [CrossRef]

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