• DocumentCode
    2837284
  • Title

    Defect detection in ultrasonic images

  • Author

    D´Sa, Eurico J. ; Ramakrishnan, K.R. ; Krause, P.

  • Author_Institution
    Nat. Inst. of Oceanogr., Goa, India
  • fYear
    1989
  • fDate
    22-24 Nov 1989
  • Firstpage
    577
  • Lastpage
    580
  • Abstract
    The detection and characterization of defects contained in aircraft parts made of carbon composites using ultrasonic image analysis based on contour and region based segmentation methods is discussed. The experimental and analytical results show that the problems encountered in ultrasonic images are varied and require the use of different approaches for proper characterization of defects. The use of the contour based approach enabled well defined boundaries of defects and structural features to be obtained from ultrasonic images having a homogeneous background. The region based segmentation method could not differentiate between defects and structural features. A combination of the contour and region based segmentation methods enabled defect detection to be made based on geometric constraints. Other methods based on mathematical morphology also showed encouraging results
  • Keywords
    aerospace computing; aircraft; carbon fibre reinforced composites; computerised picture processing; flaw detection; ultrasonic materials testing; C; aircraft parts; carbon composites; contour based segmentation; defect detection; geometric constraints; mathematical morphology; nondestructive evaluation; region based segmentation; structural features; ultrasonic image analysis; Aerospace materials; Aircraft manufacture; Anisotropic magnetoresistance; Composite materials; Image analysis; Image processing; Image segmentation; Materials reliability; Ultrasonic imaging; Ultrasonic transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '89. Fourth IEEE Region 10 International Conference
  • Conference_Location
    Bombay
  • Type

    conf

  • DOI
    10.1109/TENCON.1989.177006
  • Filename
    177006