Multispectral salient object detection based on frequency domain

Jiani Gao; Jing Han; Lianfa Bai

doi:10.1117/12.2503218

9 August 2018 Multispectral salient object detection based on frequency domain

Jiani Gao, Jing Han, Lianfa Bai

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108061G (2018) https://doi.org/10.1117/12.2503218
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Jiani Gao, Jing Han, and Lianfa Bai "Multispectral salient object detection based on frequency domain", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108061G (9 August 2018); https://doi.org/10.1117/12.2503218

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available