CBIR with Partial Input of Unshaped Images Using Compressed-Pixel Matching Algorithm

  • Authors

    • Ahilandeswari Thangarajan
    • Vivekanandan Kalimuthu
    2018-08-15
    https://doi.org/10.14419/ijet.v7i3.27.17762
  • Partial input image, content based image retrieval (CBIR), shapes, ROI, compression.

  • Abstract

    Many works have been done to find out whether given image is in the database using Content Based Image Retrieval (CBIR) techniques. However if the query image is unshaped or noise filled then retrieval of that image in the database is difficult .We propose an approach by which for any shape of input image the databases is searched and the most relevant image is retrieved. Results provides better accuracy than existing one and time elapsed also reduced because of making comparison after compression of both partial image and images from the database. The attainment of the proposed system is assessed using LFW and WANG image sets consisting of 2000 and 9990 images, respectively, and it measured with familiar methods with regard to precision and recall which demonstrates the advantages of the proposed approach.

     

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  • How to Cite

    Thangarajan, A., & Kalimuthu, V. (2018). CBIR with Partial Input of Unshaped Images Using Compressed-Pixel Matching Algorithm. International Journal of Engineering & Technology, 7(3.27), 206-208. https://doi.org/10.14419/ijet.v7i3.27.17762

    Received date: 2018-08-17

    Accepted date: 2018-08-17

    Published date: 2018-08-15