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The Study of Randomized Visual Saliency Detection Algorithm
Joint Authors
Gao, Shangbing
Chen, Yuantao
Xu, Weihong
Kuang, Fangjun
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-09
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Image segmentation process for high quality visual saliency map is very dependent on the existing visual saliency metrics.
It is mostly only get sketchy effect of saliency map, and roughly based visual saliency map will affect the image segmentation results.
The paper had presented the randomized visual saliency detection algorithm.
The randomized visual saliency detection method can quickly generate the same size as the original input image and detailed results of the saliency map.
The randomized saliency detection method can be applied to real-time requirements for image content-based scaling saliency results map.
The randomization method for fast randomized video saliency area detection, the algorithm only requires a small amount of memory space can be detected detailed oriented visual saliency map, the presented results are shown that the method of visual saliency map used in image after the segmentation process can be an ideal segmentation results.
American Psychological Association (APA)
Chen, Yuantao& Xu, Weihong& Kuang, Fangjun& Gao, Shangbing. 2013. The Study of Randomized Visual Saliency Detection Algorithm. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-467465
Modern Language Association (MLA)
Chen, Yuantao…[et al.]. The Study of Randomized Visual Saliency Detection Algorithm. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-467465
American Medical Association (AMA)
Chen, Yuantao& Xu, Weihong& Kuang, Fangjun& Gao, Shangbing. The Study of Randomized Visual Saliency Detection Algorithm. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-467465
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467465