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 …
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| 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 |
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| 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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