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Journal of Electronic Imaging

Multiresolution saliency map based object segmentation
Author(s): Jian Yang; Xin Wang; ZhenYou Dai
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Paper Abstract

Salient objects’ detection and segmentation are gaining increasing research interest in recent years. A saliency map can be obtained from different models presented in previous studies. Based on this saliency map, the most salient region (MSR) in an image can be extracted. This MSR, generally a rectangle, can be used as the initial parameters for object segmentation algorithms. However, to our knowledge, all of those saliency maps are represented in a unitary resolution although some models have even introduced multiscale principles in the calculation process. Furthermore, some segmentation methods, such as the well-known GrabCut algorithm, need more iteration time or additional interactions to get more precise results without predefined pixel types. A concept of a multiresolution saliency map is introduced. This saliency map is provided in a multiresolution format, which naturally follows the principle of the human visual mechanism. Moreover, the points in this map can be utilized to initialize parameters for GrabCut segmentation by labeling the feature pixels automatically. Both the computing speed and segmentation precision are evaluated. The results imply that this multiresolution saliency map-based object segmentation method is simple and efficient.

Paper Details

Date Published: 17 November 2015
PDF: 6 pages
J. Electron. Imaging. 24(6) 061205 doi: 10.1117/1.JEI.24.6.061205
Published in: Journal of Electronic Imaging Volume 24, Issue 6
Show Author Affiliations
Jian Yang, Harbin Institute of Technology Shenzhen Graduate School (China)
Xin Wang, Harbin Institute of Technology Shenzhen Graduate School (China)
ZhenYou Dai, Harbin Institute of Technology Shenzhen Graduate School (China)


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