• DocumentCode
    2773330
  • Title

    Hybrid technique for colour image classification and efficient retrieval based on fuzzy logic and neural networks

  • Author

    Fernando, Ranisha ; Kulkarni, Siddhivinayak

  • Author_Institution
    Sch. of Sci., Inf. Technol. & Eng., Univ. of Ballarat, Ballarat, VIC, Australia
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Developments in the technology and the Internet have led to increase in number of digital images and videos. Thousands of images are added to WWW every day. To retrieve the specific images efficiently from database or from Internet is becoming a challenge now a day. As a result, the necessity of retrieving images has emerged to be important to various professional areas. This paper proposes a novel fuzzy approach to classify the colour images based on their content, to pose a query in terms of natural language and fuse the queries based on neural networks for fast and efficient retrieval. Number of experiments was conducted for classification and retrieval of images on sets of images and promising results were obtained. The results were analysed and compared with other similar image retrieval system.
  • Keywords
    Internet; fuzzy logic; image classification; image colour analysis; image retrieval; natural language processing; neural nets; visual databases; Internet; WWW; colour image classification; digital images; digital videos; fuzzy logic; hybrid technique; image database; image retrieval system; natural language; neural networks; query fusion; Feature extraction; Fuzzy logic; Histograms; Image color analysis; Image retrieval; Natural languages; Neural networks; classification; fuzzy logic; image retrieval; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252587
  • Filename
    6252587