SLIC superpixels compared to state-of-the-art superpixel methods

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ID: 273190
2012
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Abstract
Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algo …
Reference Key
r2012ieeeslic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Achanta R;Shaji A;Smith K;Lucchi A;Fua P;Süsstrunk S;;
Journal ieee transactions on pattern analysis and machine intelligence
Year 2012
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/22641706
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine reproducibility of results research support non-u.s. gov't Comparative Study sensitivity and specificity computer-assisted* computer-assisted / methods* pattern recognition automated / methods* algorithms* image enhancement / methods* image interpretation signal processing pmid:22641706 doi:10.1109/tpami.2012.120 radhakrishna achanta appu shaji sabine süsstrunk

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