Advanced search
1 file | 1.21 MB

Quantitative error measures for edge detection

(2013) PATTERN RECOGNITION. 46(4). p.1125-1139
Author
Organization
Keywords
Edge detection, Image processing, Performance evaluation, MODIFIED HAUSDORFF DISTANCE, DETECTION ALGORITHMS, PERFORMANCE EVALUATION, GENETIC ALGORITHM, ACTIVE CONTOURS, ROC ANALYSIS, IMAGES, SEGMENTATION, METHODOLOGY, SELECTION

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.21 MB

Citation

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

Chicago
Lopez-Molina, Carlos, Bernard De Baets, and Humberto Bustince. 2013. “Quantitative Error Measures for Edge Detection.” Pattern Recognition 46 (4): 1125–1139.
APA
Lopez-Molina, Carlos, De Baets, B., & Bustince, H. (2013). Quantitative error measures for edge detection. PATTERN RECOGNITION, 46(4), 1125–1139.
Vancouver
1.
Lopez-Molina C, De Baets B, Bustince H. Quantitative error measures for edge detection. PATTERN RECOGNITION. 2013;46(4):1125–39.
MLA
Lopez-Molina, Carlos, Bernard De Baets, and Humberto Bustince. “Quantitative Error Measures for Edge Detection.” PATTERN RECOGNITION 46.4 (2013): 1125–1139. Print.
@article{3223435,
  author       = {Lopez-Molina, Carlos and De Baets, Bernard and Bustince, Humberto},
  issn         = {0031-3203},
  journal      = {PATTERN RECOGNITION},
  language     = {eng},
  number       = {4},
  pages        = {1125--1139},
  title        = {Quantitative error measures for edge detection},
  url          = {http://dx.doi.org/10.1016/j.patcog.2012.10.027},
  volume       = {46},
  year         = {2013},
}

Altmetric
View in Altmetric
Web of Science
Times cited: