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Salient Object Detection Based on Amplitude Spectrum Optimization

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Neural Information Processing (ICONIP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10636))

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Abstract

Saliency detection is prerequisite for many computer vision tasks. The existing frequency domain models can not always detect a complete object. We propose a novel salient object detection model based on an optimized amplitude spectrum. This model computes saliency map in two steps. Firstly, we optimize amplitude spectrum by smoothing the peaks in log amplitude spectrum. The raw saliency maps are computed by combining the optimized amplitude spectrum and the original phase spectrum according to different thresholds. Secondly, we compute the entropy of raw saliency maps and select the raw saliency map with the smallest value of entropy as the final saliency map. Our model detects more complete object region. By testing on the databases ASD, MSRA10K, DUT-OMRON and SED2, experiments demonstrate that the proposed model outperforms the state-of-the-art models.

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Acknowledgments

The paper was supported in part by the National Natural Science Foundation (NSFC) of China under Grant No. 61365003 and Gansu Province Basic Research Innovation Group Project No. 1506RJIA031.

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China

    Ce Li, Yuqi Wan & Hao Liu

Authors
  1. Ce Li
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  2. Yuqi Wan
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  3. Hao Liu
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Corresponding author

Correspondence to Ce Li .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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Li, C., Wan, Y., Liu, H. (2017). Salient Object Detection Based on Amplitude Spectrum Optimization. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10636. Springer, Cham. https://doi.org/10.1007/978-3-319-70090-8_47

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  • DOI: https://doi.org/10.1007/978-3-319-70090-8_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70089-2

  • Online ISBN: 978-3-319-70090-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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