Saliency Region Detection via Local and Global Features
- 10.2991/csic-15.2015.27How to use a DOI?
- Salient detection, Local contrast, Global contrast, Weight value
Saliency detection plays an important role in many applications such as image segmentation, retrieval, editor and object recognition. Salience detection methods mainly divide into two categories: local contrast method and global contrast method. AC method is one of the typically local contrast methods, and HC method is a classical method base on global contrast. In this paper, we proposed an approach combined with AC and HC method, it not only considers local features but global information. After synthesizing the salience map of the AC and HC methods, firstly, according to the characteristics of human visual system, we pay attention to the salience center of an image, and add a weight value to each pixel, the closer to the center, the higher the weight. Then, we enhance the contrast of the image, receding darker part and increasing bright one. To confirm the proposed approach's effectiveness, we compare AC and HC method with the proposed one. The experimental results show that the new method generates a better salience map.
- © 2015, 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 - Dan Hu AU - Yan Wang AU - Shaohui Qian AU - Weiyu Yu PY - 2015/07 DA - 2015/07 TI - Saliency Region Detection via Local and Global Features BT - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication PB - Atlantis Press SP - 117 EP - 120 SN - 2352-538X UR - https://doi.org/10.2991/csic-15.2015.27 DO - 10.2991/csic-15.2015.27 ID - Hu2015/07 ER -