• DocumentCode
    2750536
  • Title

    Froth image segmentation algorithms and their validation

  • Author

    Wang, Weixing ; Wang, Luya

  • Author_Institution
    Image Eng. & Vision Syst. Ltd., Stockholm, Sweden
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2042
  • Abstract
    In mineral processing, froth characteristics are important for flotation results. To monitor the variation of froth characteristics, an optical system has been developed. In the flotation system, one important procedure for image processing and analysis is image segmentation. This paper presents four newly developed segmentation algorithms for froth images. Results of image segmentation were compared to manual segmentation results, and comparisons show that the newly developed algorithms work well for the tested froth images
  • Keywords
    bubbles; edge detection; image segmentation; mathematical morphology; mineral processing industry; bubbles; edge detection; flotation system; froth characteristics; froth images; image processing; image segmentation algorithms; mineral processing; morphological segmentation; white spots detection; Algorithm design and analysis; Image analysis; Image edge detection; Image recognition; Image segmentation; Image texture analysis; Labeling; Machine vision; Systems engineering and theory; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.893506
  • Filename
    893506