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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: A Novel Research on the Content based Image Retrieval Analysis Using MATLAB
Authors Name: Pankaj Hatwal , Mr. Ankur Chaudhary
Unique Id: IJSDR1909039
Published In: Volume 4 Issue 9, September-2019
Abstract: The growing need for content-based image retrieval technique can be found in several different areas, such as data mining, education, medical imaging, crime prevention, weather forecasting, remote sensing, and data management. Earth's resources. In this article, a new approach to generalized image recovery based on semantic content is presented. A combination of three ways to extract the parameters: color, texture, and edge descriptor graphic. There is a willingness to add new features in the future to improve recovery efficiency. Any combination of these methods, which are more suitable for the application, can be used for recovery. This is provided by the user interface (UI) in the form of relevant notes. The characteristics of the image analyzed in this work are using image processing and visualization algorithms. Retrieval of images based on visual characteristics such as color, texture, and shape has been shown to have its own set of limitations under different conditions. In this article, we propose a new method with a highly effective and recoverable approach that will work in a large image database with diverse contents and backgrounds.
Keywords: Content-Based Image Retrieval, Data Mining, Education, Medical Imaging, Crime Prevention
Cite Article: "A Novel Research on the Content based Image Retrieval Analysis Using MATLAB", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 9, page no.287 - 293, September-2019, Available :http://www.ijsdr.org/papers/IJSDR1909039.pdf
Downloads: 000337070
Publication Details: Published Paper ID: IJSDR1909039
Registration ID:191024
Published In: Volume 4 Issue 9, September-2019
DOI (Digital Object Identifier):
Page No: 287 - 293
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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