Two-stage salient object identification and segmentation based on irregularity
Date
2021-08-16
Authors
Advisors
Journal Title
Journal ISSN
ISSN
1380-7501
Volume Title
Publisher
Springer
Type
Article
Peer reviewed
Yes
Abstract
In this paper, we introduce a new approach for saliency identification based on the irregularity of the region both globally and locally. The new technique utilises the local and global features of the surrounding region of the pixels. The object is considered to be salient if it is salient both locally and globally. The local saliency identification (LSI) is used to identify the saliency of the object based on the structure of the object while the global saliency identification deification (GSI) identifies the saliency of the region based on the contrast of the object with respect to the entire background.
Description
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
Keywords
Irregularity, Saliency, Image Processing, Thresholding, fuzzy
Citation
Al-Azawi, M., Yang, Y. and Istance, H. (2021) Two-stage salient object identification and segmentation based on irregularity. Multimedia Tools and Applications, 80, pp. 33275–33295.