Phase-based salient object detection

Jia Wan, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, we propose an efficient approach to computing saliency maps and determining salient areas in images. Biologically inspired feature maps are first constructed for a given image, and the phase information is then extracted from each feature map in the frequency domain. Finally, a saliency map is formed by using the phase information, followed by a smoothing operation. Experiment results show that our proposed algorithm is computationally efficient and can detect salient objects accurately.
Original languageEnglish
Title of host publication6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Proceedings
DOIs
Publication statusPublished - 1 Dec 2012
Event6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Gold Coast, QLD, Australia
Duration: 12 Dec 201214 Dec 2012

Conference

Conference6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012
Country/TerritoryAustralia
CityGold Coast, QLD
Period12/12/1214/12/12

Keywords

  • saliency map
  • salient object detection
  • spectral-domain analysis
  • visual attention

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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