• DocumentCode
    1766912
  • Title

    A fast auto white balance scheme for digital pathology

  • Author

    Garud, Hrushikesh ; Ray, A.K. ; Mahadevappa, M. ; Chatterjee, Jyotirmoy ; Mandal, Srimanta

  • Author_Institution
    Sch. of Med. Sci. & Technol., IIT Kharagpur, Kharagpur, India
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    153
  • Lastpage
    156
  • Abstract
    This paper presents a fast and accurate auto white balance scheme specifically suited for white balance (WB) correction in digital pathology applications. The scheme uses low-level statistics based technique for illuminant estimation and linear transformation method for image correction. The WB performance of the proposed scheme has been tested in various real life conditions and found to be within just noticeable difference of the ideal WB scenario.
  • Keywords
    biomedical optical imaging; digital photography; image colour analysis; medical image processing; statistics; WB performance; digital pathology applications; fast auto white balance scheme; ideal WB scenario; illuminant estimation; image correction; linear transformation method; low-level statistics based technique; real life conditions; white balance correction; Biomedical imaging; Computational modeling; Educational institutions; Estimation; Image color analysis; Microscopy; Pathology; Color constancy; auto white balance; computer vision; digital pathology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/BHI.2014.6864327
  • Filename
    6864327