• DocumentCode
    260907
  • Title

    On analyzing optic disc extraction through weighted colour models

  • Author

    Zulkifley, Mohd Asyraf ; Hussain, Amir ; Mustafa, Mohd Marzuki ; Mustapha, Aouache

  • Author_Institution
    Dept. of Electr., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2014
  • fDate
    15-18 Jan. 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Optic disc segmentation is a crucial step in automated glaucoma detection system through Cup-to-Disc ratio measurement. Recent approaches focus on deterministic algorithm of RGB or grey model only. In this paper, we proposed a statistically integrated approach by combining various colour models. The driving motivation is the ability of each colour model to work accurately in certain environments or cases. Histogram of ach colour model of HSV, RGB and grey will be tabulated to approximate the colour distribution. The ratio between the highest and the second highest will be the contribution weightage of the fused output. The performance is simulated by using RIM-One database. The average sensitivity and specificity of the detection are 0.912 and 0.832 respectively.
  • Keywords
    biomedical optical imaging; image segmentation; medical disorders; medical image processing; statistical analysis; HSV model; RGB model; RIM-One database; ach colour model; colour distribution; cup-to-disc ratio measurement; glaucoma detection; grey model; optic disc extraction; optic disc segmentation; statistical integrated approach; weighted colour models; Color; Green products; Image color analysis; Modeling; Optical imaging; Optical sensors; Optical variables measurement; Glaucoma detection; Hybrid model; Multiple colour models; Optic disc extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Information and Communications (ICEIC), 2014 International Conference on
  • Conference_Location
    Kota Kinabalu
  • Type

    conf

  • DOI
    10.1109/ELINFOCOM.2014.6914379
  • Filename
    6914379