CBIR Using Slant Transform Using DC & AC Coefficients

  • Authors

    • N Sravani
    • K Veera Swamy
    2018-07-04
    https://doi.org/10.14419/ijet.v7i3.6.15042
  • CBIR, slant transform, DC coefficients, AC coefficients, distance metrics, precision, recall.

  • Abstract

    In the CBIR- (Content Based Image Retrieval) technique requires low-level or primitive features- color, texture, or  other data that can be taken from its image Extracting feature vectors of database images as well as query image can be calculated with the help of slant transform by considering DC & 3 AC coefficients obtained in each block of an image. Slant transform represents the gradual brightness changes in an image line effectively. By calculating the difference between feature vector data base and feature vector for a query by using the distance measuring techniques. The vector of the smaller distance is the closest to query image. The experiment is performed in the Corel 500 Image Database. Finally, CBIR results are evaluated by the recall, precision, and F-Score.

     

     

  • References

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      http://wang.ist.psu.edu/~jwang/test1.tar

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  • How to Cite

    Sravani, N., & Veera Swamy, K. (2018). CBIR Using Slant Transform Using DC & AC Coefficients. International Journal of Engineering & Technology, 7(3.6), 276-280. https://doi.org/10.14419/ijet.v7i3.6.15042

    Received date: 2018-07-04

    Accepted date: 2018-07-04

    Published date: 2018-07-04