• DocumentCode
    659350
  • Title

    Detection of Structural Similarity for Multimodal Microscopic Image Registration

  • Author

    Guohua Lv ; Shyh Wei Teng ; Guojun Lu ; Lackmann, Martin

  • Author_Institution
    Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC, Australia
  • fYear
    2013
  • fDate
    26-28 Nov. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we propose a novel method to detect the structural similarity in registering color and confocal microscopic images. Our prior work presented the basic idea of detecting the structural similarity of such images, which utilizes the intensity relationships among red-green-blue color channels. The work in this paper will make the detection of structural similarity automatic and adaptive to each individual color microscopic image. The experimental results will demonstrate the effectiveness of the proposed method in detecting the structural similarity of these images and significant improvements in the registration performance.
  • Keywords
    image colour analysis; image matching; image registration; microscopy; color microscopic images; confocal microscopic images; intensity relationships; multimodal microscopic image registration; red-green-blue color channels; structural similarity detection; Color; Decision support systems; Equations; Image color analysis; Mathematical model; Microscopy; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications (DICTA), 2013 International Conference on
  • Conference_Location
    Hobart, TAS
  • Type

    conf

  • DOI
    10.1109/DICTA.2013.6691495
  • Filename
    6691495