• DocumentCode
    2610107
  • Title

    Multifractal spectrum theory used to medical image from CT testing

  • Author

    Qi, Dawei ; Yu, Lei

  • Author_Institution
    Coll. of Sci., Northeast Forestry Univ., Harbin
  • fYear
    2008
  • fDate
    2-5 July 2008
  • Firstpage
    68
  • Lastpage
    73
  • Abstract
    With the development of computer technology, computer medical image has gained a lot of importance in the clinical diagnosis and remedies. Its clinical application has a close link with image processing technology. Moreover, edge detection is one of the most important methods in the processing. A method in medical image edge detection based on multifractal theory was applied in the paper. The Holder exponent of image pixels was computed first, then its multifractal spectrum was estimated and different image pixels were classified, smoothing edge point and singular edge point. Based on multifractal theory, the set of both singular edge points and smoothing edge points is the set of image edge points. Experimental result showed that the method of image processing based on multifractal theory was a more effective.
  • Keywords
    edge detection; estimation theory; fractals; image classification; medical image processing; smoothing methods; CT testing; Holder exponent; clinical diagnosis; image pixel classification; image processing technology; medical image edge detection; multifractal spectrum estimation; multifractal spectrum theory; multifractal theory; singular edge point smoothing; Biomedical imaging; Clinical diagnosis; Computed tomography; Fractals; Image edge detection; Image processing; Medical diagnostic imaging; Medical tests; Pixel; Smoothing methods; Hölder exponent; Image processing; Multifractal spectrum; Multifractal theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4244-2494-8
  • Electronic_ISBN
    978-1-4244-2495-5
  • Type

    conf

  • DOI
    10.1109/AIM.2008.4601636
  • Filename
    4601636