• DocumentCode
    3376264
  • Title

    Metal surface control system based on successive contour estimation

  • Author

    Marot, Julien ; Bourennane, Salah ; Spinnler, Klaus

  • Author_Institution
    Inst. Fresnel, Marseille, France
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2293
  • Lastpage
    2296
  • Abstract
    A nondestructive control system is proposed. We consider an application of defect detection in metal workpieces. To solve this defect detection problem, we propose an image processing system including denoising, segmentation, and mapping. A contour preserving denoising method based on wavelet decomposition is adapted; various tools of contour based image segmentation are combined adequately, to segment successively high contrast and low contrast contours; generalized Hough transform is adapted to map processed and reference workpieces without defects. Comparative results are proposed which involve the proposed image processing system, and two region based segmentation methods.
  • Keywords
    image denoising; image segmentation; metals; surface topography; wavelet transforms; contour preserving denoising method; image denoising; image mapping; image processing system; image segmentation; metal surface control system; nondestructive control system; successive contour estimation; wavelet decomposition; Active contours; Image edge detection; Image segmentation; Metals; Noise reduction; Pixel; Surface morphology; Image segmentation; Metals industry; Morphological operations; Nondestructive testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5654115
  • Filename
    5654115