• DocumentCode
    3240242
  • Title

    A semi automatic algorithm based on morphology features for measuring of root canal length

  • Author

    Harandi, Azam Amini ; Pourghassem, Hossein

  • Author_Institution
    Dept. of Electr. Eng., Islamic Azad Univ., Isfahan, Iran
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    260
  • Lastpage
    264
  • Abstract
    Automation measuring of root canal length is an important factor in diagnosis and treatment procedures. In this paper, a semi automatic algorithm based on morphological features for measuring the length of root canal in radiography images is proposed. In this algorithm, using the preliminary low-level image processing techniques such as histogram equalization, denoising, enhancement in spatial and frequency domains, image enhancement carried out on the dental radiography image. Then, morphological operations are used to extract the pulp of teeth in a radiography image. A perfect set of scanned dental radiography images that have been labelled by specialists are used to evaluate the proposed algorithm. The obtained results show effectiveness of the proposed algorithm in real conditions.
  • Keywords
    biomedical measurement; dentistry; diagnostic radiography; edge detection; feature extraction; image enhancement; length measurement; medical image processing; X-ray radiography; automatic root canal length measurement; dental radiography image; frequency domains; image enhancement; low-level image processing technique; morphology features; semiautomatic algorithm; spatial domains; teeth pulp extraction; Biomedical imaging; Dentistry; Image edge detection; Image segmentation; Irrigation; Noise reduction; Teeth; root canal-dental X-ray radiography-pulp of teeth — morphology features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014718
  • Filename
    6014718