Abstract

This Letter proposes a novel saliency detection method based on biological plausibility of a hypercomplex Fourier spectrum contrast algorithm. The proposed algorithm takes into consideration not only simulation of simple cortical cells in the receptive field of humans but also the texture-color feature global spectrum contrast of an image. First, we utilize log-Gabor filters to mimic simple cortical cells in the receptive field of humans. Two complex numbers of texture colors are acquired through feature maps in hue, saturation, and value color space by log-Gabor. Second, we build the hypercomplex number using these representations of feature maps. Finally, the salient object is detected by spectrum contrast in the hypercomplex Fourier domain. Experimental results show that the proposed algorithm outperforms the state-of-the-art methods.

© 2012 Optical Society of America

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2011

J. R. Xue, C. Li, and N. N. Zheng, IEEE Trans. Image Process. 20, 1177 (2011).
[CrossRef]

Y. Z. Zhu, L. Zhi, and R. Shi, Opt. Eng. 50, 057008 (2011).
[CrossRef]

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

2010

2007

T. Ell and S. Sangwine, IEEE Trans. Image Process. 16, 22 (2007).
[CrossRef]

2001

L. Itti, G. Gold, and C. Koch, Opt. Eng. 40, 1784 (2001).
[CrossRef]

1998

L. Itti, C. Koch, and E. Niebur, IEEE Trans. Pattern Anal. Mach. Intell. 20, 1254 (1998).
[CrossRef]

1987

1980

A. Treisman and G. Gelade, Cogn. Psychol. 12, 97 (1980).
[CrossRef]

Baldrich, R.

Bruce, N.

N. Bruce and J. Tsotsos, in Proceedings of Neural Information Processing Systems (MIT, 2006), p. 155.

Duan, L.

M. Wang, J. Li, T. Huang, Y. Tian, L. Duan, and G. Jia, in Proceedings of the International Conference on Multimedia (ACM, 2010), p. 979.

Ell, T.

T. Ell and S. Sangwine, IEEE Trans. Image Process. 16, 22 (2007).
[CrossRef]

Field, D. J.

Gao, C. X.

Gelade, G.

A. Treisman and G. Gelade, Cogn. Psychol. 12, 97 (1980).
[CrossRef]

Gevers, T.

Gold, G.

L. Itti, G. Gold, and C. Koch, Opt. Eng. 40, 1784 (2001).
[CrossRef]

Guo, C. L.

C. L. Guo, Q. Ma, and L. M. Zhang, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2008), p. 1.

Hou, X. D.

X. D. Hou and L. M. Zhang, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2007), p. 1.

Huang, R.

Huang, T.

M. Wang, J. Li, T. Huang, Y. Tian, L. Duan, and G. Jia, in Proceedings of the International Conference on Multimedia (ACM, 2010), p. 979.

Itti, L.

L. Itti, G. Gold, and C. Koch, Opt. Eng. 40, 1784 (2001).
[CrossRef]

L. Itti, C. Koch, and E. Niebur, IEEE Trans. Pattern Anal. Mach. Intell. 20, 1254 (1998).
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Jia, G.

M. Wang, J. Li, T. Huang, Y. Tian, L. Duan, and G. Jia, in Proceedings of the International Conference on Multimedia (ACM, 2010), p. 979.

Jin, C. F.

Koch, C.

L. Itti, G. Gold, and C. Koch, Opt. Eng. 40, 1784 (2001).
[CrossRef]

L. Itti, C. Koch, and E. Niebur, IEEE Trans. Pattern Anal. Mach. Intell. 20, 1254 (1998).
[CrossRef]

Li, C.

J. R. Xue, C. Li, and N. N. Zheng, IEEE Trans. Image Process. 20, 1177 (2011).
[CrossRef]

Li, J.

M. Wang, J. Li, T. Huang, Y. Tian, L. Duan, and G. Jia, in Proceedings of the International Conference on Multimedia (ACM, 2010), p. 979.

Liu, L. P.

Liu, T.

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

Lucassen, M.

Ma, Q.

C. L. Guo, Q. Ma, and L. M. Zhang, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2008), p. 1.

Niebur, E.

L. Itti, C. Koch, and E. Niebur, IEEE Trans. Pattern Anal. Mach. Intell. 20, 1254 (1998).
[CrossRef]

Qu, Z. F.

Sang, N.

Sangwine, S.

T. Ell and S. Sangwine, IEEE Trans. Image Process. 16, 22 (2007).
[CrossRef]

Shi, R.

Y. Z. Zhu, L. Zhi, and R. Shi, Opt. Eng. 50, 057008 (2011).
[CrossRef]

Shum, H. Y.

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

Sun, J.

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

Sun, X. D.

Tang, X. D.

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

Tian, Y.

M. Wang, J. Li, T. Huang, Y. Tian, L. Duan, and G. Jia, in Proceedings of the International Conference on Multimedia (ACM, 2010), p. 979.

Treisman, A.

A. Treisman and G. Gelade, Cogn. Psychol. 12, 97 (1980).
[CrossRef]

Tsotsos, J.

N. Bruce and J. Tsotsos, in Proceedings of Neural Information Processing Systems (MIT, 2006), p. 155.

van de Weijer, J.

Vazquez, E.

Wang, J. D.

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

Wang, M.

M. Wang, J. Li, T. Huang, Y. Tian, L. Duan, and G. Jia, in Proceedings of the International Conference on Multimedia (ACM, 2010), p. 979.

Xu, Y. N.

Xue, J. R.

J. R. Xue, C. Li, and N. N. Zheng, IEEE Trans. Image Process. 20, 1177 (2011).
[CrossRef]

Yuan, Z. J.

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

Zhang, L. M.

X. D. Hou and L. M. Zhang, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2007), p. 1.

C. L. Guo, Q. Ma, and L. M. Zhang, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2008), p. 1.

Zhao, Y.

Zheng, N. N.

J. R. Xue, C. Li, and N. N. Zheng, IEEE Trans. Image Process. 20, 1177 (2011).
[CrossRef]

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

Zhi, L.

Y. Z. Zhu, L. Zhi, and R. Shi, Opt. Eng. 50, 057008 (2011).
[CrossRef]

Zhu, Y. Z.

Y. Z. Zhu, L. Zhi, and R. Shi, Opt. Eng. 50, 057008 (2011).
[CrossRef]

Cogn. Psychol.

A. Treisman and G. Gelade, Cogn. Psychol. 12, 97 (1980).
[CrossRef]

IEEE Trans. Image Process.

J. R. Xue, C. Li, and N. N. Zheng, IEEE Trans. Image Process. 20, 1177 (2011).
[CrossRef]

T. Ell and S. Sangwine, IEEE Trans. Image Process. 16, 22 (2007).
[CrossRef]

IEEE Trans. Pattern Anal. Mach. Intell.

L. Itti, C. Koch, and E. Niebur, IEEE Trans. Pattern Anal. Mach. Intell. 20, 1254 (1998).
[CrossRef]

T. Liu, Z. J. Yuan, J. Sun, J. D. Wang, N. N. Zheng, X. D. Tang, and H. Y. Shum, IEEE Trans. Pattern Anal. Mach. Intell. 33, 353 (2011).
[CrossRef]

J. Opt. Soc. Am. A

Opt. Eng.

Y. Z. Zhu, L. Zhi, and R. Shi, Opt. Eng. 50, 057008 (2011).
[CrossRef]

L. Itti, G. Gold, and C. Koch, Opt. Eng. 40, 1784 (2001).
[CrossRef]

Opt. Lett.

Other

M. Wang, J. Li, T. Huang, Y. Tian, L. Duan, and G. Jia, in Proceedings of the International Conference on Multimedia (ACM, 2010), p. 979.

N. Bruce and J. Tsotsos, in Proceedings of Neural Information Processing Systems (MIT, 2006), p. 155.

X. D. Hou and L. M. Zhang, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2007), p. 1.

C. L. Guo, Q. Ma, and L. M. Zhang, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2008), p. 1.

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Figures (3)

Fig. 1.
Fig. 1.

Overview of the proposed saliency detection framework.

Fig. 2.
Fig. 2.

Saliency maps and detection psychological patterns.

Fig. 3.
Fig. 3.

Saliency maps and detection results of nature images.

Tables (1)

Tables Icon

Table 1. ROC Areas of Different Algorithms

Equations (6)

Equations on this page are rendered with MathJax. Learn more.

ql(o,s)=fevenl(o,s)+foddl(o,s)j.
Ql(o,s)=Fevenl(o,s)+Foddl(o,s)j.
Ql(o,s)=Ql(o,s)ejϕl,
QSCampl(o,s)=lg(QIl(o,s)/QIblurl(o,s))ejϕIl,
Smapl(o,s)=g*qscl(o,s)2,
Smap=1L+O+Sl=1Lo=1Os=1SSmapl(o,s).

Metrics