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

البكسلات الفائقة SLIC مقارنةً بأحدث طرق البكسلات الفائقة

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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 …
أصبحت تطبيقات الرؤية الحاسوبية تعتمد بصورة متزايدة على البكسلات الفائقة (superpixels) في السنوات الأخيرة، ولكن ليس من الواضح دائمًا ما الذي يُشكّل خوارزمية بكسلات فائقة جيدة. وفي مسعى لفهم مزايا الأساليب الحالية وعيوبها، نُجري مقارنة تجريبية بين خمس من أحدث خوارزميات البكسلات الفائقة…
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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