• DocumentCode
    3591738
  • Title

    Color image retrieval technique based on EM segmentation algorithm

  • Author

    Fakheri, Majid ; Sedghi, Tohid

  • Author_Institution
    Urmia Branch, Fac. of Eng., Islamic Azad Univ., Urmia, Iran
  • fYear
    2010
  • Firstpage
    793
  • Lastpage
    795
  • Abstract
    Content based image retrieval, the problem of finding images from data base according to their content, has been the subject of a significant amount of research in the last decade. Image retrieval based on region is one of the most promising and active research directions in recent years. As literature prove that region segmentation will produce better results. Human visual perception is more effective than any machine vision systems for extracting semantic information from image, hitherto no specific system has been suggested with the ability of extracting object individually. We introduce a new idea, hence object detection has been obtained as main contribution of this paper and a new feature extraction based on spectral analysis is presented.
  • Keywords
    computer vision; content-based retrieval; feature extraction; image colour analysis; image retrieval; image segmentation; object detection; EM segmentation algorithm; color image retrieval technique; content based image retrieval; feature extraction; human visual perception; machine vision system; object detection; semantic information extraction; spectral analysis; Computer vision; Feature extraction; Hidden Markov models; Image color analysis; Image retrieval; Image segmentation; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (IST), 2010 5th International Symposium on
  • Print_ISBN
    978-1-4244-8183-5
  • Type

    conf

  • DOI
    10.1109/ISTEL.2010.5734130
  • Filename
    5734130