Zhenghao Hu, Qiuping Jiang, Zhutuan Li, Feng Shao, "An Image Saliency Detection Method by Constructing Graph Model," WSEAS Transactions on Signal Processing, vol. 10, pp. 429-435, 2014, DOI:
Zhenghao Hu, Qiuping Jiang, Zhutuan Li, Feng Shao. An Image Saliency Detection Method by Constructing Graph Model.
WSEAS Transactions on Signal Processing. 2014;10:429-435.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 10, 2014
An Image Saliency Detection Method by Constructing Graph Model
Authors: , , ,
Abstract: In this paper, we present an image saliency detection method by constructing graph model. We extract color, texture and compactness features and segment superpixels from an input image to construct a graph model. Then, saliency for each is measured by calculating random walker probability on the node. Extensive results on MSRA dataset containing 1000 test images with ground truths demonstrate that the proposed saliency model outperforms the state-of-the-art saliency models with higher precision and recall performances.
Pages: 429-435 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 10, 2014, Art. #45 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
×
Citation Tools