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Transactions on Edutainment XIV pp 100–114Cite as

Salient Object Detection Based on the Fusion of Foreground Coarse Extraction and Background Prior

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Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 10790))

Abstract

In order to obtain more refined salient object detection results, firstly, the coarse salient regions are extracted from the bottom-up, the coarse saliency map contains local map, frequency prior map and global color distribution map, which are more in accord with the rules of biological psychology. Then, an algorithm is proposed to measure the background prior quality by using three indexes, namely, salient expectation, local contrast and global contrast. Finally, the weighted algorithm is designed according to the prior quality to improve the saliency, so that the saliency prior and the saliency detection results are more accurate. Compared with 9 state-of-the-art algorithms on the 2 benchmark datasets of ECSSD and MSRA 10k, the proposed algorithm highlights salient regions, reduces noise, and is more in line with human visual perception, and reflects the excellence.

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Acknowledgements

This work was supported by “National Natural Science Foundation of China (No. 61300170)” and “Anhui province higher education to enhance the general project plan of Provincial Natural Science Research (No. TSKJ2014B11)”. The authors wish to thank the Education Department of Anhui Province for their help.

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Authors and Affiliations

  1. School of Computer and Information, Anhui Polytechnic University, Wuhu, 241000, Anhui, China

    Lingkang Gu

  2. VR Research Institute, NINEDVR Corp., Guuangzhou, 310036, China

    Zhigeng Pan

Authors
  1. Lingkang Gu
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  2. Zhigeng Pan
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Correspondence to Lingkang Gu .

Editor information

Editors and Affiliations

  1. Hangzhou Normal University, Hangzhou, China

    Zhigeng Pan

  2. Graduate School of Media Design, Keio University, Yokohama-shi, Japan

    Adrian David Cheok

  3. University of Education, Weingarten, Germany

    Wolfgang Müller

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Gu, L., Pan, Z. (2018). Salient Object Detection Based on the Fusion of Foreground Coarse Extraction and Background Prior. In: Pan, Z., Cheok, A., Müller, W. (eds) Transactions on Edutainment XIV. Lecture Notes in Computer Science(), vol 10790. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56689-3_9

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  • DOI: https://doi.org/10.1007/978-3-662-56689-3_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-56688-6

  • Online ISBN: 978-3-662-56689-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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