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Proceedings Paper

Spectral residual method of saliency detection based on the two-dimensional fractional Fourier transform domain
Author(s): Jiangxue Tian; Lin Qi; Yaxing Wang
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Paper Abstract

As one of classic methods of frequency domain based saliency detection, Spectral residual (SR) method has shown several advantages. However, it usually produces higher saliency values at object edges instead of generating maps that uniformly cover the whole object, which results from failing to exploit all the spatial frequency content of the original image. The Two-Dimensional Fractional Fourier transform (2D-FRFT) is a generalized form of the traditional Fourier Transform (FT) which can abstract more meaningful information of the image under certain conditions. Based on this property, we propose a new method which detects the salient region based on 2D-FRFT domain. Moreover, we also use Hough transform detection and a band-pass filter to refine the saliency map. We conduct experiments on a common used dataset: MSRA. The proposed method is compared with several other saliency detection methods and shown to achieve superior result.

Paper Details

Date Published: 9 December 2015
PDF: 7 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981704 (9 December 2015); doi: 10.1117/12.2228025
Show Author Affiliations
Jiangxue Tian, Zhengzhou Univ. (China)
Lin Qi, Zhengzhou Univ. (China)
Yaxing Wang, Zhengzhou Univ. (China)

Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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