Abstract
A novel multiscale phase congruency (MPC) based analysis method is proposed in this paper for edge saliency detection and non-salient region texture suppression. Several MPC maps are proposed to be merged. Gaussian function based center priors and threshold processing are applied for the final edge saliency map generation, which can effectively suppress the textures and the detailed edges of non-salient regions. Experimental results show that the proposed MPC based edge saliency detection method can better generate edge saliency map for the most salient region in an image than the traditional PC based edge detection method and the other state-of-the-art saliency detection methods.
| Original language | English |
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| Title of host publication | Proceedings of 2016 International Conference on Machine Learning and Cybernetics |
| Publisher | IEEE |
| Pages | 75-80 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509003907 |
| ISBN (Print) | 9781509003914 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | 2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016 - Jeju Island, Korea, Republic of Duration: 10 Jul 2016 → 13 Jul 2016 |
Conference
| Conference | 2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 10/07/16 → 13/07/16 |
Keywords
- Background texture suppression
- Edge detection
- Edge saliency map
- Foreground extraction
- Gaussian center priors
- Multiscale analysis
- Non-salient region suppression
- Phase congruency
- Salient object boundary
- Visual attention
- Visual saliency