Implementation of Public Key Cryptosystem Using CBIR Algorithm

preprint OA: closed CC-BY-4.0
📄 Open PDF View at publisher

Abstract

Content-based image retrieval, also known as query by image content is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. The usage of digital images has been increased enormously from the last decade due to the drastic growth in storage and network technology. These technological changes have led the professional users to use, store and manipulate the remotely stored images. Information Retrieval (IR) deals with location and retrieval of related documents or images on the basis of user inputs such as keywords or example as a query from the repository. Hence, to throw a light into this chosen research topic, we are carrying out an integrated analysis of HSV color histogram characteristics with contour based concepts could be used to improve the retrieval system performance in CBIR.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-4.0