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Twofold consensus for boundary detection ground truth

(2016) KNOWLEDGE-BASED SYSTEMS. 98. p.162-171
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Ground truth, Consensus image, EDGE-DETECTION ALGORITHMS, MULTISENSOR IMAGE FUSION, Binary image, Quality evaluation, Boundary detection, ROC ANALYSIS, FUZZY-LOGIC, ROUGH SETS, SEGMENTATION, PERFORMANCE, BENCHMARKING, SELECTION, STAPLE

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Citation

Please use this url to cite or link to this publication:

MLA
Lopez-Molina, Carlos, Bernard De Baets, and H Bustince. “Twofold Consensus for Boundary Detection Ground Truth.” KNOWLEDGE-BASED SYSTEMS 98 (2016): 162–171. Print.
APA
Lopez-Molina, C., De Baets, B., & Bustince, H. (2016). Twofold consensus for boundary detection ground truth. KNOWLEDGE-BASED SYSTEMS, 98, 162–171.
Chicago author-date
Lopez-Molina, Carlos, Bernard De Baets, and H Bustince. 2016. “Twofold Consensus for Boundary Detection Ground Truth.” Knowledge-based Systems 98: 162–171.
Chicago author-date (all authors)
Lopez-Molina, Carlos, Bernard De Baets, and H Bustince. 2016. “Twofold Consensus for Boundary Detection Ground Truth.” Knowledge-based Systems 98: 162–171.
Vancouver
1.
Lopez-Molina C, De Baets B, Bustince H. Twofold consensus for boundary detection ground truth. KNOWLEDGE-BASED SYSTEMS. 2016;98:162–71.
IEEE
[1]
C. Lopez-Molina, B. De Baets, and H. Bustince, “Twofold consensus for boundary detection ground truth,” KNOWLEDGE-BASED SYSTEMS, vol. 98, pp. 162–171, 2016.
@article{7243941,
  author       = {Lopez-Molina, Carlos and De Baets, Bernard and Bustince, H},
  issn         = {0950-7051},
  journal      = {KNOWLEDGE-BASED SYSTEMS},
  keywords     = {Ground truth,Consensus image,EDGE-DETECTION ALGORITHMS,MULTISENSOR IMAGE FUSION,Binary image,Quality evaluation,Boundary detection,ROC ANALYSIS,FUZZY-LOGIC,ROUGH SETS,SEGMENTATION,PERFORMANCE,BENCHMARKING,SELECTION,STAPLE},
  language     = {eng},
  pages        = {162--171},
  title        = {Twofold consensus for boundary detection ground truth},
  url          = {http://dx.doi.org/10.1016/j.knosys.2016.01.033},
  volume       = {98},
  year         = {2016},
}

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