Image Saliency Detection Algorithm Based on Super Pixels Partition
Wenwen Pan, Xiaofei Sun, Xia Wang, Tao Xu, Lina Gong
Available Online September 2016.
- https://doi.org/10.2991/amitp-16.2016.84How to use a DOI?
- Saliency detection, super pixel, saliency map, salient object.
- This paper proposes an image saliency detection algorithm based on super pixels partition. The algorithm first uses the simple linear iterative clustering method to divide the image into multiple super pixels, and then according to the rules of global saliency to calculate the saliency level of each super pixel, finally the saliency map of the whole image is obtained. Experimental results show that the proposed approach can extract saliency map from the image of different size with different types of salient object, and the effect is better.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wenwen Pan AU - Xiaofei Sun AU - Xia Wang AU - Tao Xu AU - Lina Gong PY - 2016/09 DA - 2016/09 TI - Image Saliency Detection Algorithm Based on Super Pixels Partition BT - 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/amitp-16.2016.84 DO - https://doi.org/10.2991/amitp-16.2016.84 ID - Pan2016/09 ER -