• DocumentCode
    1851550
  • Title

    Image analysis and computer vision for mineral froth

  • Author

    Wang, Weixing ; Li, Lei

  • Author_Institution
    Dept. of Electron. Eng., Electron. Sci. & Technol. Univ., Chengdu, China
  • Volume
    4
  • fYear
    2005
  • fDate
    29 July-1 Aug. 2005
  • Firstpage
    1790
  • Abstract
    This paper presents a Windows based system for image analysis and computer vision of mineral froth. The system was designed for the ChaCo EC-project "The Characterization of Flotation Froth Structure and Color by Machine Vision", and developed on Microsoft Windows on PC computer. To make the system work efficiently both in laboratories and in the plants, we designed and developed a flexible Windows platform which mainly consists of image acquisition, image processing, froth (bubble) delineation, froth analysis and modeling, and interfaces between different computers in use. Hundreds of functions for froth analysis are included in the system, especially in the froth delineation part. A number of newly-developed algorithms can delineate bubbles with high accuracy and high speed, and in the froth analysis part, each bubble can be characterized by about 60 parameters that can also be used for constructing froth models directly in a Windows platform environment.
  • Keywords
    computer vision; image classification; image segmentation; mineral processing industry; Microsoft Windows based system; bubbles delineation; computer vision; froth analysis; froth delineation; froth modeling; image acquisition; image analysis; image classification; image processing; image segmentation; mineral froth; valley-edge detection; Algorithm design and analysis; Application software; Computer vision; Hardware; Image analysis; Image color analysis; Image processing; Image segmentation; Image texture analysis; Minerals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2005 IEEE International Conference
  • Print_ISBN
    0-7803-9044-X
  • Type

    conf

  • DOI
    10.1109/ICMA.2005.1626831
  • Filename
    1626831