Salient Region Detection based on Frequency-tuning and Region Contrast
- 10.2991/csss-14.2014.171How to use a DOI?
- Image retrieval; Semantic gap; Saliency detection; Region-level saliency map; Visual attention
Frequency-tuned saliency detection analyzes image saliency from the perspective of frequency domain and fully combines image segmentation method, which outputs well-defined boundaries of salient objects. However, the method ignores spatial relationships across image parts. This paper proposes an improved saliency detection method on the basis of the frequency-tuned method. In this method, we first segment the input image into regions and then analyze the image from the frequency domain. After that, we preprocess it using Gaussian filter to eliminate noise and coding artifacts. For each region, we can get saliency map in region-level based on region contrast. Finally, salient regions are selected by “winner-take-all” (WTA) neural network and Inhibition of Return(IOR) mechanism. The proposed salient region detection algorithm combines the virtues of frequency-tuning and region contrast. The experimental results show the feasibility and validity of this algorithm.
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Li-hua Fu AU - Liang Guo AU - Wei-dong Wu PY - 2014/06 DA - 2014/06 TI - Salient Region Detection based on Frequency-tuning and Region Contrast BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 732 EP - 735 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.171 DO - 10.2991/csss-14.2014.171 ID - Fu2014/06 ER -