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      A small comparison of various content based image retrieval approach

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      research-article
        1 , , 2
      ScienceOpen Preprints
      ScienceOpen
      Digital Image Processing, Fuzzy, CBIR, KNN, Semantic gap, colour feature
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            Abstract

            -Image retrieval is one of the most interesting and fastest growing research areas in the field of digital image processing as well as for the information retrieval from web contents. In most Content-Based Image Retrieval (CBIR) systems, an image is represented by a set of different level of visual features, by which can manage large databases.CBIR is used in many areas for retrieving images of simillar type from large database Most of the popular database removes the highlevel semantic information.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            2 February 2023
            Affiliations
            [1 ] Rajiv Gandhi Technical University, Bhopal, Madhya Pradesh, India;
            [2 ] SIRTE Bhopal;
            Author notes
            Author information
            https://orcid.org/0000-0001-7887-3125
            Article
            10.14293/S2199-1006.1.SOR-.PP6PWQI.v1
            057654ef-b0e0-41c2-9bc9-f586e4465ce8

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 2 February 2023
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            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Computer science
            Digital Image Processing, Fuzzy, CBIR, KNN, Semantic gap, colour feature

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