• DocumentCode
    3328702
  • Title

    Automatic Separation System of Coal Gangue Based on DSP and Digital Image Processing

  • Author

    Wang, Renbao ; Liang, Zhe

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
  • fYear
    2011
  • fDate
    16-18 May 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    It is important to separate coal gangue from lump coal during the production of coal mine. The system investigated the fundamental characteristics of coal images and gangue images on the basis of digital image processing technology. Median filter, edge extraction and grayscale comparison of coal images and gangue images were successively carried out by the technology of image preprocessing, image segmentation, feature extraction and image recognition. The image processing results showed that coal images and gangue images could been distinguished based on their grayscale histogram. Coal gangue could been separated from the lump coal. To improve operation speed, the high performance microcontroller(DSP) was used as the core processor of system. It can achieve the real-time automatic separation of coal gangue. It provides a new technology for separation of coal gangue.
  • Keywords
    coal; digital signal processing chips; feature extraction; image recognition; image segmentation; industrial waste; mining; production engineering computing; separation; DSP; coal gangue automatic separation system; coal images characteristics; coal mine production; digital image processing; digital signal processing chips; edge extraction; feature extraction; gangue images characteristics; grayscale histogram; image filtering; image recognition; image segmentation; microcontroller; Coal; Digital images; Feature extraction; Gray-scale; Image edge detection; Probability distribution; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photonics and Optoelectronics (SOPO), 2011 Symposium on
  • Conference_Location
    Wuhan
  • ISSN
    2156-8464
  • Print_ISBN
    978-1-4244-6555-2
  • Type

    conf

  • DOI
    10.1109/SOPO.2011.5780625
  • Filename
    5780625