• DocumentCode
    457185
  • Title

    Feature Extraction from Micrographs of Forged Nickel Based Alloy

  • Author

    Rinnhofer, Alfred ; Benesova, Wanda ; Jakob, Gerhard ; Stockinger, Manfred

  • Author_Institution
    Inst. of Digital Image Process., Joanneum Res., Graz
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    391
  • Lastpage
    394
  • Abstract
    Various algorithms for the automatic extraction of features from micrographs of forged INCONEL 718trade is presented in this paper. This includes the extraction of an optimized boundary image, the elimination of scratches and parallel lines ("twins") and from subsequent evaluation and the detection of delta phase particles. Requested features are grain size, the amount and distribution of S phase with respect to grain boundaries and anisotropic effects
  • Keywords
    chemistry computing; feature extraction; nickel alloys; delta phase particles; feature extraction; forged INCONEL 718; forged nickel based alloy; micrographs; optimized boundary image; Anisotropic magnetoresistance; Digital images; Etching; Feature extraction; Grain boundaries; Grain size; Lighting; Nickel alloys; Temperature; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.554
  • Filename
    1699227
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=457185