• DocumentCode
    3415790
  • Title

    Segmentation of colloidal crystal images by local histogram analysis

  • Author

    Davis, Keith A. ; Acton, Scott T. ; Ackerson, Bruce J.

  • Author_Institution
    Dept. of Phys., Oklahoma State Univ., Stillwater, OK, USA
  • fYear
    1996
  • fDate
    8-9 Apr 1996
  • Firstpage
    178
  • Lastpage
    183
  • Abstract
    The segmentation algorithm given herein is a development of a study of hard-sphere colloidal crystallization undertaken by the authors. The motivation for the development of the algorithm was the lack of a suitable commercially-available program. The desired algorithm is one capable of accurately segmenting a large set of digitized images with a sparse population of blobs varying in contrast to the local background. Furthermore, the program would also need to segment accurately images with backgrounds which varied locally and temporally. The algorithm used here appears to provide adequate results with stable sensitivity to low and high contrast crystal images when implemented recursively
  • Keywords
    chemistry computing; colloids; crystal chemistry; crystallisation; image segmentation; blobs; colloidal crystal image segmentation; contrast; hard-sphere colloidal crystallization; local background; local histogram analysis; segmentation algorithm; sparse population; stable sensitivity; Colloidal crystals; Crystallization; Entropy; Histograms; Image analysis; Image segmentation; Light scattering; Lighting; Particle scattering; Suspensions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-3200-8
  • Type

    conf

  • DOI
    10.1109/IAI.1996.493749
  • Filename
    493749