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Saliency Detection with Multi-Scale Superpixels

contributor authorNa Tong
contributor authorHuchuan Lu
contributor authorLihe Zhang
contributor authorXiang Ruan
date accessioned2020-03-13T00:03:08Z
date available2020-03-13T00:03:08Z
date issued2014
identifier issn1070-9908
identifier other6814822.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1132644?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleSaliency Detection with Multi-Scale Superpixels
typeJournal Paper
contenttypeMetadata Only
identifier padid8313657
subject keywordsBayes methods
subject keywordsGaussian processes
subject keywordsfeature extraction
subject keywordsimage segmentation
subject keywordsimage texture
subject keywordsobject detection
subject keywordssmoothing methods
subject keywordsASD dataset
subject keywordsBayesian framework
subject keywordsGaussian smoothing parameters
subject keywordsbenchmark datasets
subject keywordsguided filter
subject keywordsinput image
subject keywordsmultiscale analysis
subject keywordsmultiscale segmentations
subject keywordsnormalization
subject keywordssaliency maps
subject keywordssalient object detection algorithm
subject keywordssalient regions
subject keywordssuperpixels
subject keywordsweighted summation
subject keywordsBayes methods
subject keywordsImage color analysis
subject keywordsImage segmentation
subject keywordsObject detection
subject keywordsSignal processing algor
identifier doi10.1109/LSP.2014.2323407
journal titleSignal Processing Letters, IEEE
journal volume21
journal issue9
filesize1341498
citations0


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