CoBRa: convex hull based random walks for salient object detection
CoBRa: convex hull based random walks for salient object detection
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Salient object detection is a challenging research area, which aims to highlight significant region of the visual scene more accurately and quickly. In this research direction, we propose a novel saliency detection model called Convex Hull Based Random Walks (CoBRa) approach. In the proposed model, an image is segmented into superpixels and Convex...
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Full title
CoBRa: convex hull based random walks for salient object detection
Authors, Artists and Contributors
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TN_cdi_proquest_journals_2703197610
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2703197610
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ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-022-12470-6
