• DocumentCode
    3089333
  • Title

    Colour image annotation using hybrid intelligent techniques for image retrieval

  • Author

    Kulkarni, Santosh ; Kulkarni, Parag

  • Author_Institution
    Sch. of Sci., Inf. Technol. & Eng., Univ. of Ballarat, Ballarat, VIC, Australia
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    115
  • Lastpage
    119
  • Abstract
    This paper presents a novel technique for colour image annotation based on neural networks and fuzzy logic. Neural network is proposed for classifying the images based on their contents and fuzzy logic is proposed for interpreting the content of an image in terms of natural language. One of the main aspects of this research is to avoid re-training of the neural networks by training the content of the image. Neural network is not trained on database of images; therefore image can be added or deleted from image database without affecting the training. The proposed hybrid technique is tested on real world colour image dataset and promising results are obtained.
  • Keywords
    feature extraction; fuzzy logic; fuzzy set theory; image classification; image colour analysis; image retrieval; natural languages; neural nets; colour feature extraction; colour image annotation; fuzzy logic; fuzzy membership function; hybrid intelligent technique; image classification; image content interpretation; image retrieval; natural language; neural network; Feature extraction; Image color analysis; Image retrieval; Neural networks; Training; fuzzy logic; image annotation; image retrieval; intelligent techniques; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems (HIS), 2012 12th International Conference on
  • Conference_Location
    Pune
  • Print_ISBN
    978-1-4673-5114-0
  • Type

    conf

  • DOI
    10.1109/HIS.2012.6421319
  • Filename
    6421319