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Proceedings Paper

Multispectral salient object detection based on frequency domain
Author(s): Jiani Gao; Jing Han; Lianfa Bai
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Paper Abstract

In this paper, a multispectral salient object detection algorithm based on frequency domain is proposed, which has the advantages of high efficiency and simplicity. In this paper, the principle of the saliency detection in frequency domain is first studied, and the advantages of it in the detection of abnormal target are demonstrated. Then, using quaternion transform to extract spectral features in two spectral intervals. We extract salient information in frequency domain by quaternion fourier transform, the saliency map of two spectral interval method using PCA fusion. The adaptive threshold is used to segment image for highlighting salient objects. Finally, we collect multispectral images from the spectral system built by AOTF and near-infrared camera, and test the original and noisy images. The results show that the algorithm is efficient and robust.

Paper Details

Date Published: 9 August 2018
PDF: 9 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108061G (9 August 2018); doi: 10.1117/12.2503218
Show Author Affiliations
Jiani Gao, Nanjing Univ. of Science and Technology (China)
Jing Han, Nanjing Univ. of Science and Technology (China)
Lianfa Bai, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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