Survey on content based image retrieval

  • Authors

    • Ankitha Varma
    • Dr. Kamalpreet Kaur
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.21136
  • Image Retrieval, CBIR, Color, Texture, Shape, Database, Performance Evaluation.

  • Abstract

    Now-a-days, because of the advancement in the digital technology and the use of internet, a huge amount of digital data is available in the form of medical images, remote sensing, digital museums, geographical information, etc. This has lead to the need of accurate and efficient techniques for the search and retrieval of relevant images from such voluminous datasets. Content based image retrieval (CBIR) is one such approach which is increasingly being used to search and retrieve query image from the databases. CBIR combines features of color, texture as well as shape which ease out the process of extracting desired information from the retrieved images. This paper pre- sents a systematic and a detailed review of the CBIR method along with the different databases and evaluation parameters used for the analysis. An attempt has been made to include an exhaustive literature survey of the various CBIR approaches.

     

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  • How to Cite

    Varma, A., & Kamalpreet Kaur, D. (2018). Survey on content based image retrieval. International Journal of Engineering & Technology, 7(4.5), 471-476. https://doi.org/10.14419/ijet.v7i4.5.21136

    Received date: 2018-10-06

    Accepted date: 2018-10-06

    Published date: 2018-09-22