• DocumentCode
    2043813
  • Title

    Image sharpness metrics for digital microscopy

  • Author

    Windisch, Gergely ; Kozlovszky, Miklos

  • Author_Institution
    Doctoral Sch. of Appl. Inf. & Appl. Math., Obuda Univ., Budapest, Hungary
  • fYear
    2015
  • fDate
    22-24 Jan. 2015
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    Image sharpness measurements are important parts of many image processing applications. To measure image sharpness multiple algorithms have been proposed and measured in the past but they have been developed with having out-of-focus photographs in mind and they do not work so well with images taken using a digital microscope. In this article we show the difference between images taken with digital cameras, images taken with a digital microscope and artificially blurred images. The conventional sharpness measures are executed on all these categories to measure the difference and a standard image set taken with a digital microscope is proposed and described to serve as a common baseline for further sharpness measures in the field.
  • Keywords
    cameras; feature extraction; image processing; microscopy; photography; artificially blurred images; digital cameras; digital microscopy; image processing applications; image sharpness measurements; image sharpness metrics; out-of-focus photographs; Digital cameras; Image databases; Image edge detection; Measurement; Microscopy; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on
  • Conference_Location
    Herl´any
  • Type

    conf

  • DOI
    10.1109/SAMI.2015.7061889
  • Filename
    7061889