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Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions

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  • Additional Information
    • Publication Information:
      Slovenian Society for Stereology and Quantitative Image Analysis, 2020.
    • Publication Date:
      2020
    • Collection:
      LCC:Medicine (General)
      LCC:Mathematics
    • Abstract:
      In this paper, we propose a complete framework to process images captured under uncontrolled lighting and especially under low lighting. By taking advantage of the Logarithmic Image Processing (LIP) context, we study two novel functional metrics: i) the LIP-multiplicative Asplund metric which is robust to object absorption variations and ii) the LIP-additive Asplund metric which is robust to variations of source intensity or camera exposure-time. We introduce robust to noise versions of these metrics. We demonstrate that the maps of their corresponding distances between an image and a reference template are linked to Mathematical Morphology. This facilitates their implementation. We assess them in various situations with different lightings and movement. Results show that those maps of distances are robust to lighting variations. Importantly, they are efficient to detect patterns in low-contrast images with a template acquired under a different lighting.
    • File Description:
      electronic resource
    • ISSN:
      1580-3139
      1854-5165
    • Relation:
      https://www.ias-iss.org/ojs/IAS/article/view/2292; https://doaj.org/toc/1580-3139; https://doaj.org/toc/1854-5165
    • Accession Number:
      10.5566/ias.2292
    • Rights:
      Journal Licence: CC BY-NC
    • Accession Number:
      edsdoj.9919ddfda5674d81a9fc41824b2d1c80
  • Citations
    • ABNT:
      GUILLAUME NOYEL; MICHEL JOURLIN. Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions. Image Analysis and Stereology, [s. l.], v. 39, n. 2, p. 53–71, 2020. DOI 10.5566/ias.2292. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.9919ddfda5674d81a9fc41824b2d1c80&custid=s8280428. Acesso em: 21 set. 2020.
    • AMA:
      Guillaume Noyel, Michel Jourlin. Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions. Image Analysis and Stereology. 2020;39(2):53-71. doi:10.5566/ias.2292
    • APA:
      Guillaume Noyel, & Michel Jourlin. (2020). Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions. Image Analysis and Stereology, 39(2), 53–71. https://doi.org/10.5566/ias.2292
    • Chicago/Turabian: Author-Date:
      Guillaume Noyel, and Michel Jourlin. 2020. “Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions.” Image Analysis and Stereology 39 (2): 53–71. doi:10.5566/ias.2292.
    • Harvard:
      Guillaume Noyel and Michel Jourlin (2020) ‘Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions’, Image Analysis and Stereology, 39(2), pp. 53–71. doi: 10.5566/ias.2292.
    • Harvard: Australian:
      Guillaume Noyel & Michel Jourlin 2020, ‘Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions’, Image Analysis and Stereology, vol. 39, no. 2, pp. 53–71, viewed 21 September 2020, .
    • MLA:
      Guillaume Noyel, and Michel Jourlin. “Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions.” Image Analysis and Stereology, vol. 39, no. 2, June 2020, pp. 53–71. EBSCOhost, doi:10.5566/ias.2292.
    • Chicago/Turabian: Humanities:
      Guillaume Noyel, and Michel Jourlin. “Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions.” Image Analysis and Stereology 39, no. 2 (June 1, 2020): 53–71. doi:10.5566/ias.2292.
    • Vancouver/ICMJE:
      Guillaume Noyel, Michel Jourlin. Functional Asplund Metrics for Pattern Matching, Robust to Variable Lighting Conditions. Image Analysis and Stereology [Internet]. 2020 Jun 1 [cited 2020 Sep 21];39(2):53–71. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.9919ddfda5674d81a9fc41824b2d1c80&custid=s8280428