• DocumentCode
    3528968
  • Title

    Edge detection for brain tumor pattern recognition

  • Author

    Rulaningtyas, Riries ; Ain, Khusnul

  • Author_Institution
    Phys. Dept., Univ. of Airlangga Surabaya, Surabaya, Indonesia
  • fYear
    2009
  • fDate
    23-25 Nov. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Brain tumor diagnosis is done by doctors. For detecting brain tumor grading always gives different conclusion between one doctor to another. For helping doctors diagnose brain tumor grading, this research made a software with edge detections method, so it could give edge pattern of brain and brain tumor itself. Edge detection of brain tumor in this research is the first step for brain tumor grading research. This research found the best edge detection method for brain tumor detecting between Robert, Prewitt, and Sobel method. From these three methods, Sobel method is suitable with case of brain tumors detecting. Sobel method had smaller deviation standard value than two others edge detection method.
  • Keywords
    brain; edge detection; medical image processing; tumours; Prewitt method; Robert method; Sobel method; brain tumor diagnosis; brain tumor grading; edge detection; pattern recognition; Brain; Equations; Gray-scale; Histograms; Image edge detection; Image processing; Kernel; Magnetic resonance imaging; Neoplasms; Pattern recognition; brain tumor; deviation standard; edge detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4244-4999-6
  • Electronic_ISBN
    978-1-4244-5000-8
  • Type

    conf

  • DOI
    10.1109/ICICI-BME.2009.5417299
  • Filename
    5417299