Robust Image Retrieval using Dominant Colour with Binarized Pattern Feature Extraction and Fast Correlation

Robust Image Retrieval using Dominant Colour with Binarized Pattern Feature Extraction and Fast Correlation

Gayatri Tiwari

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Prof. Dr. Bhupesh Gour

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Prof.Dr. Asif Ullah Khan

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Rajiv Gandhi Technical University

Robust Image Retrieval using Dominant Colour with Binarized Pattern Feature Extraction and Fast Correlation

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Abstract

The modern technology providing the sharing of information at very fast rate such as audio, video and images. The sharing of such data also increased as the social networking sites become popular among young generation. Now the online databases of images is so huge having millions of images, and the searching of images we need is crucial task. For such applications various image retrieval methodologies is proposed. In this paper we are proposing very efficient image retrieval technique based on dominant colour features extraction and pattern feature extraction. In the simulation results we have found that from around 6000 images proposed algorithm takes only 1.5 seconds to retrieve results. That is why this approach is significant in terms of retrieval speed.

References

20 Cites in Article

Reference Format

H Tamura,N Yokoya (1984). Image Database Systems: A Survey.
S Gerard,C Buckely (1988). Term-Weighting Approaches in Automatic Text Retrieval.
Y Chen,J Wang (2004). Image Categorization by Learning and Reasoning with Regions.
Fuhui Long,Hongjiang Zhang,David Feng (2003). Fundamentals of Content-Based Image Retrieval.
V Gudivada,Raghavan (1995). Content-based image retrieval systems.
M Kherfi,D Ziou,A Bernardi (2004). Image Retrieval From the World Wide Web: Issues, Techniques, and Systems.
M Flickner,H Sawhney,W Niblack,J Ashley,Qian Huang,B Dom,M Gorkani,J Hafner,D Lee,D Petkovic,D Steele,P Yanker (1995). Query by image and video content: the QBIC system.
A Pentland,R Picard,S Sclaroff (1997). Photobook: Content-based manipulation of image databases.
John Smith,Shih-Fu Chang (1996). VisualSEEk.
Amarnath Gupta,Ramesh Jain (1997). Visual information retrieval.
J Li,J Wang,G Wiederhold (2000). Integrated Region Matching for Image Retrieval.
M Rao,C Kavitha,B Rao,A Govardhan (2013). A new feature set for content based image retrieval.
Lunshao Chai,Zhen Qin,Honggang Zhang,Jun Guo,Christian Shelton (1941). Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval.
Haipeng Li,Jianbo Lu,Jiang Yu (1869). An image retrieval method based on fractal image coding.
David Edmundson,Gerald Schaefer (2012). Flickr Retriever - Fast Retrieval of Flickr Photos.
A Abdelrahim,M Abdelrahman,A Mahmoud,A Farag (2011). Image retrieval based on content and image compression.
An-Zen Shih (2010). The application of fractal compression to content-based image retrieval: Comparison of techniques.
J Huang,S Kumar,M Mitra,W Zhu,R Zabih (1997). Image Indexing using Color Correlograms.
S Siddique (2002). A Wavelet Based Technique for Analysis and Classification of Texture Images.
R Zhao,W Grosky (2002). Narrowing the Semantic Gap-Improved Text Based Web Document Retrieval Using Visual Feature.

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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

Gayatri Tiwari. 2014. \u201cRobust Image Retrieval using Dominant Colour with Binarized Pattern Feature Extraction and Fast Correlation\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F3).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

binarized pattern features colour features image retrieval retrieval speed and correlation

Submission ReceivedDecember 8, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published January 15, 2014

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v1.2

Issue date

August 21, 2014

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Article Matrices

Total Score: 113

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Gayatri Tiwari, Prof. Dr. Bhupesh Gour, Prof.Dr. Asif Ullah Khan (PhD/Dr. count: 2)

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Publish Date: 2014 08, Thu

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Total Views: 8690

Total Downloads: 2232

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