Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Saliency detection by combining spatial and spectral information

Not Accessible

Your library or personal account may give you access

Abstract

In this Letter, a new algorithm is proposed to detect salient regions by combining spatial and spectral information. First, the input image is considered in both RGB color space and Lab color space. Second, the biggest symmetric surround model and spectral residual are calculated in each channel simultaneously. Third, the feature maps in some color channels outperform the feature maps in the other channels. Entropy is defined to evaluate the performance of the feature maps, which can be used to choose the proper channels and combine different feature maps. Finally, a Gaussian low-pass filter is applied to improve the performance by accounting for the center bias. Compared with previous methods, our saliency detection is more effective and robust as demonstrated by the experiments.

© 2013 Optical Society of America

Full Article  |  PDF Article
More Like This
Saliency detection using regional histograms

Zhi Liu, Olivier Le Meur, Shuhua Luo, and Liquan Shen
Opt. Lett. 38(5) 700-702 (2013)

Automatic salient object detection via maximum entropy estimation

Xiao Chen, Hongwei Zhao, Pingping Liu, Baoyu Zhou, and Weiwu Ren
Opt. Lett. 38(10) 1727-1729 (2013)

Saliency detection based on biological plausibility of hypercomplex Fourier spectrum contrast

Ce Li, Jianru Xue, Zhiqiang Tian, Lu Li, and Nanning Zheng
Opt. Lett. 37(17) 3609-3611 (2012)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (3)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (5)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Metrics

Select as filters


Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved