Color Matching of Images by using Minkowski-Form Distance

Dr.AJAY B. KURHE

Color Matching of Images by using Minkowski-Form Distance

Dr.AJAY B. KURHE * §

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§ Swami Ramanand Teerth Marathwada University, Nanded

Color Matching of Images by using Minkowski-Form Distance

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Abstract

Content-based image retrieval (CBIR) is an important issue in the computer vision community. Color feature is one of the most important visual feature in CBIR. It is very difficult to recognize object from only shape feature because without color a shape of object looks like many other different objects, so there is need of other features like color. Using both features color and shape we can recognize object efficiently. Color histogram is widely used for image indexing in content-based image retrieval (CBIR). In this paper, we propose color histogram for different eight colors i.e. Black, White, Red, Green, Blue, Yellow, Magenta and Cyan to increase the efficiency of proposed algorithm. The distance between different histogram of the query image with the corresponding histogram of database images are calculated by using Minkowski-Form Distance. Experiment results prove that the CBIR using our new measure has better performance.

References

14 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

Dr.AJAY B. KURHE. 1970. "Color Matching of Images by using Minkowski-Form Distance". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 5).

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GJCST Volume 11 Issue 5

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST Classification FOR Code: 080103

080199

Submission ReceivedFebruary 7, 2011
Peer Review Double Blind
Handling Editor
Accepted March 6, 2011
Published March 20, 2011

Version of record

v1.2

Issue date

April 14, 2011

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr.AJAY B. KURHE, SUHAS S. SATONKAR, PRAKASH B. KHANALE (PhD/Dr. count: 1)

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Publish Date: 2011 03, Sun

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Total Views: 5.4K

Total Downloads: 417

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