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- Title
Saliency detection based on salient edges and remarkable discriminating for superpixel pairs.
- Authors
Hu, Zhengping; Zhang, Zhenbin; Sun, Zhe; Zhao, Shuhuan
- Abstract
Saliency detection is an essential pre-processing step for intensifying image objects in many computer vision fields. Other than most bottom-up methods, in this paper, we propose a novel saliency model based on high-level image edges and low-level feature contrast. Edges are inherent features for an image, and it can locate the object via a salient selection. With this theory, an accurate object contour is generated after two salient discriminations for edge-contiguous superpixel couples. After position is confirmed, foreground and background of the image can be divided by the contour. With an ingrowth model, we then obtain a foreground (or background) seeds referencing spatial adjacent relation. According to the seed set, a homologous saliency map is computed via a seed-based saliency approach, which is proposed on the basis of affinity matrix. Compared with some pre-existing algorithms, low-level information is utilized purposefully by salient edges in the presented method, which makes the extracted fore regions more precise.
- Subjects
PIXELS; COMPUTER vision; IMAGE analysis; IMAGE processing; IMAGING systems
- Publication
Multimedia Tools & Applications, 2018, Vol 77, Issue 5, p5949
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-017-4508-1