Article
Details
Citation
Chuang Y, Chen L, Chen G & Woodward J (2014) Isophote based center-surround contrast computation for image saliency detection. IEICE Transactions on Information and Systems, E97-D (1), pp. 160-163. https://doi.org/10.1587/transinf.E97.D.160
Abstract
In this paper, we introduce a biologically-motivated model to detect image saliency. The model employs an isophote based operator to detect potential structure and global saliency information related to each pixel, which are then combined with integral image to build up final saliency maps. We show that the proposed model outperforms seven state-of-the-art saliency detectors in experimental studies.
Notes
Output Type: Letter
Journal
IEICE Transactions on Information and Systems: Volume E97-D, Issue 1
Status | Published |
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Publication date | 31/01/2014 |
Publisher | The Institute of Electronics, Information and Communication Engineers |
ISSN | 0916-8532 |
eISSN | 1745-1361 |