• DocumentCode
    262177
  • Title

    Multi-phase Identification in Microstructures Images Using a GPU Accelerated Fuzzy C-Means Segmentation

  • Author

    Onchis, Darian M. ; Frunzaverde, Doina ; Gaianu, Mihail ; Ciubotariu, Relu

  • Author_Institution
    Dept. of Mech. & Mater. Eng., Eftimie Murgu Univ., Resita, Romania
  • fYear
    2014
  • fDate
    22-25 Sept. 2014
  • Firstpage
    602
  • Lastpage
    607
  • Abstract
    This paper presents an effective algorithm for the identification of multiple phases in microstructures images. The procedure is based on an efficient image segmentation using the fuzzy c-means algorithm. Furthermore, the algorithm is accelerated on a GPU cluster in order to obtain optimal computing times for large size images. The results are compared on the same experimental images with the ones obtained from a commercial software and the accuracy of the proposed algorithm is demonstrated.
  • Keywords
    fuzzy set theory; graphics processing units; image segmentation; GPU accelerated fuzzy c-means segmentation; image segmentation; microstructures images; multiphase identification; Acceleration; Algorithm design and analysis; Clustering algorithms; Graphics processing units; Image segmentation; Software algorithms; GPU acceleration; fuzzy c-means segmentation; multi-phase images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2014 16th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4799-8447-3
  • Type

    conf

  • DOI
    10.1109/SYNASC.2014.86
  • Filename
    7034736
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=262177