NDLI: Moving visual focus in salient object segmentation

Content Provider	IET Digital Library
Author	Chen, Zhi Hua Liu, Yi Xiao, Xiao Long Ying, Fang Li Zhang, Jing Yuan, Yu Bo
Abstract	Saliency detection plays an important role in image segmentation, object detection and retrieval, which attracts more attention in the field of computer vision recently. Most existing saliency detection algorithms have not considered the influence of visual focus (VF) shifting yet. In this study, a novel algorithm named moving region contrast (MRC) is proposed to analyse image saliency. The algorithm MRC is built on a novel concept of moving VF. The initial VF is defined as the geometric centre of the image. Then the VF is calculated iteratively by focus-moving technique where a saliency gravitation model is employed to determine the moving direction. The salient region is obtained according to the final VF. The experiments are conducted on the dataset with 1000 images released by Achanta. Experimental results show that the proposed algorithm achieves marked improvements in performance and outperforms other 11 popular algorithms.
Starting Page	758
Ending Page	769
Page Count	12
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 9, Sep (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0987
Journal	IET Image Processing
Publisher Date	2015-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision Computer Vision And Image Processing Technique Focus-moving Technique Image Retrieval Image Saliency Image Segmentation Moving Region Contrast Object Detection Object Retrieval Optical, Image And Video Signal Processing Saliency Detection Algorithm Saliency Gravitation Model Salient Object Segmentation Visual Focus Shifting
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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