Efficient Image Retrieval Based on Texture Features Using Concept of Histogram

Neelima Sadinen

Efficient Image Retrieval Based on Texture Features Using Concept of Histogram

Neelima Sadinen *

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Efficient Image Retrieval Based on Texture Features Using Concept of Histogram

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Abstract

Image retrieval is fast growing research oriented area now days. As information retrieval plays a major role in transmitting knowledge both in the forms of text and images, image retrieval got a major focus. In this paper we integrated the Histogram Intersection measure method to compare the query image with database images; by this approach we can measure over-all similarity between images, by incorporating all local properties of the texture histograms of the images through which we proved that our approach in retrieving the image is accurate.

References

12 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Neelima Sadinen. . "Efficient Image Retrieval Based on Texture Features Using Concept of Histogram". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 5).

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GJCST Volume 12 Issue 5

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Database histogram image retrieval texture

Classification

GJCST Classification I.4.7

I.4.5

Submission ReceivedApril 13, 2012
Peer Review Double Blind
Handling Editor
Accepted May 1, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

March 7, 2012

Language

English

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Article Matrices

Total Score: 145

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Neelima Sadineni, Davarapalli Anandam, Venkata Ramesh Pokala , Pasupuletu Rajesh, Kolakaluri Srinivasa Rao (PhD/Dr. count: 0)

View Count (all-time): 228

Total Views (Real + Logic): 7327

Total Downloads (simulated): 320

Publish Date: 2012 05, Tue

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Total Views: 7.3K

Total Downloads: 320

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