A Comparative Analysis of Content based Image Retrieval

Authors

  • Krishan Kumar  Assistant Professor, Department of CSE, JCDM College of Engineering, Sirsa, Haryana, India
  • Sulekha Rani  M.Tech. Scholar, Department of CSE, JCDM College of Engineering, Sirsa, Haryana, India

DOI:

https://doi.org/10.32628/CSEIT217525

Keywords:

Content Based, QBIC, CBIR, Image Retrieval, DWT

Abstract

With the development of multimedia technology, the rapid increasing usage of large image database becomes possible. To carry out its management and retrieval, Content-Based Image Retrieval (CBIR) is an effective method. It will be very difficult to manage this database of images stored at the remote servers. The right tool will be required which can process these images for different operations. These operations include searching etc. It will be difficult to classify the images into groups and then search each class for providing the image as the information against the user request query. The content based image retrieval is the most suitable way to identify the image from the large repository. It will search the image from the large set of images based on contents rather than the image name. It will be having less time to search the image from the large repository when the image is retrieved using content based. In the current research the hybrid approach for content based image retrieval is performed. This proposed procedure will be in the first step perform the classification of the image into multiple classes. The classes are prepared based on the attributes values.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-10-30

Issue

Volume 7, Issue 5, September-October-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Krishan Kumar, Sulekha Rani, " A Comparative Analysis of Content based Image Retrieval" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 5, pp.62-68, September-October-2021. Available at doi : https://doi.org/10.32628/CSEIT217525