A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance

Qinmu Peng, Yiu Ming CHEUNG*, Xinge You, Yuan Yan Tang

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

32 Citations (Scopus)


This paper presents a visual saliency detection approach, which is a hybrid of local feature-based saliency and global feature-based saliency (simply called local saliency and global saliency, respectively, for short). First, we propose an automatic selection of smoothing parameter scheme to make the foreground and background of an input image more homogeneous. Then, we partition the smoothed image into a set of regions and compute the local saliency by measuring the color and texture dissimilarity in the smoothed regions and the original regions, respectively. Furthermore, we utilize the global color distribution model embedded with color coherence, together with the multiple edge saliency, to yield the global saliency. Finally, we combine the local and global saliencies, and utilize the composition information to obtain the final saliency. Experimental results show the efficacy of the proposed method, featuring: 1) the enhanced accuracy of detecting visual salient region and appearance in comparison with the existing counterparts, 2) the robustness against the noise and the low-resolution problem of images, and 3) its applicability to multisaliency detection task.

Original languageEnglish
Article number7479564
Pages (from-to)86-97
Number of pages12
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Issue number1
Publication statusPublished - Jan 2017

Scopus Subject Areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Gradient minimization
  • multiple salient edges
  • saliency detection
  • visual attention


Dive into the research topics of 'A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance'. Together they form a unique fingerprint.

Cite this