• DocumentCode
    3181780
  • Title

    Image mining using association rule

  • Author

    Fatma, Shaikh Nikhat ; Nashipudimath, Madhu

  • Author_Institution
    Dept. Of Comput., Mumbai Univ., New Panvel, India
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    587
  • Lastpage
    593
  • Abstract
    Image mining deals with the extraction of image patterns from a large collection of images. Clearly, image mining is different from low-level computer vision and image processing techniques because the focus of image mining is in extraction of patterns from large collection of images, whereas the focus of computer vision and image processing techniques is in understanding and / or extracting specific features from a single image. While there seems to be some overlaps between image mining and content-based retrieval (both are dealing with large collection of images), image mining goes beyond the problem of retrieving relevant images. In image mining, the goal is the discovery of image patterns that are significant in a given collection of images.
  • Keywords
    content-based retrieval; data mining; image retrieval; association rule; computer vision; content-based retrieval; feature extraction; image mining; image pattern discovery; image pattern extraction; image processing techniques; Association rules; Biomedical imaging; Databases; Feature extraction; Object recognition; Shape; Image mining (IM); function-driven; information driven; knowledge driven; knowledge remounting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies (WICT), 2011 World Congress on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4673-0127-5
  • Type

    conf

  • DOI
    10.1109/WICT.2011.6141311
  • Filename
    6141311