Hybrid approach for content-based image retrieval
by S. Theetchenya; Somula Ramasubbareddy; S. Sankar; Syed Muzamil Basha
International Journal of Data Science (IJDS), Vol. 6, No. 1, 2021

Abstract: Content-based image retrieval (CBIR) is one of the vital research areas in image processing. The CBIR, also known as query by image content, i.e., the problem searching for similar digital images in a large database. The existing CBIR system used to retrieve the relevant images lack inaccuracy. To improve the accuracy level of CBIR, the proposed system introduces an unsupervised Hybrid Approach. The proposed system gets the input images as colour image. The pre-processing is performed using the median filter. This system is extracted the feature such as colour, texture, brightness distribution, Euclidean distance from hybrid approach. While the user gives the query on this system, the real time comparison is made with feature stored database. Finally the proposed system retrieves the related image from database. The proposed system compared with various dataset Corel 10000, IMAGENET1M and also increased the accuracy level by 5%.

Online publication date: Tue, 07-Sep-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Science (IJDS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com