Content base Image Retrival using Color Histogram and Global Features

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Muqaddas Bin Tahir
Muqaddas Bin Tahir

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Content base Image Retrival using Color Histogram and Global Features

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Abstract

In the world we live in today we can safely say that the internet revolution, digital representation and transportation of data had offered efficient solution for information delivery. But these phenomenal developments brought their own concern and problems in area of searching, security, monitoring and use of information by qualified end users. In early days the information was generally obtained and processed in the form of text but nowadays people are aware of the truth that information can be obtained in the form of graphics, which are a more precise and a more inclusive illustration of information. In this paper a new technique is introduced for fast Content based Image Retrieval with the help of colors and global features. Image retrieval on the base of color histogram is a very useful and common technique but in some cases this technique is not reliable. In proposed technique some new things are added with the color histogram to make it more efficient and reliable for Content based image retrieval.

References

8 Cites in Article
  1. Ritendra Datta,Dhiraj Joshi,Jia Li,James Wang (2008). Image retrieval.
  2. Dr,H Kekre,D Mishra (2011). CBIR using density distribution and mean of binary patterns of Walsh transformed Color images.
  3. James Hafner,S Harpreet,Will Sawhney,Myron Equits,Wayne Flickner,Niblack (1995). Efficient Color Histogram Indexing for Quadratic Form Distance Functions.
  4. B Kim,H Kim,S Jang (1999). Image retrieval based on color coherence.
  5. Greg Pass,Ramin Zabih,Justin Miller (1996). Comparing images using color coherence vectors.
  6. L Borja,O Fuentesj,Foley (2009). Object detection using image reconstruction with PCA.
  7. Dr Kekre,H (2010). Image Retrieval with Shape Features Extracted using Gradient Operators and Slope Magnitude Technique with BTC.
  8. Dr,H Kekre,D Mishra (2010). Four Walsh transform sectors Features vectors for image retrieval from image databases.

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

Muqaddas Bin Tahir. 2015. \u201cContent base Image Retrival using Color Histogram and Global Features\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F1): .

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Issue Cover
GJCST Volume 15 Issue F1
Pg. 23- 30
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
B.4.2 H.2.8 I.3.3
Version of record

v1.2

Issue date

June 4, 2015

Language
en
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In the world we live in today we can safely say that the internet revolution, digital representation and transportation of data had offered efficient solution for information delivery. But these phenomenal developments brought their own concern and problems in area of searching, security, monitoring and use of information by qualified end users. In early days the information was generally obtained and processed in the form of text but nowadays people are aware of the truth that information can be obtained in the form of graphics, which are a more precise and a more inclusive illustration of information. In this paper a new technique is introduced for fast Content based Image Retrieval with the help of colors and global features. Image retrieval on the base of color histogram is a very useful and common technique but in some cases this technique is not reliable. In proposed technique some new things are added with the color histogram to make it more efficient and reliable for Content based image retrieval.

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Content base Image Retrival using Color Histogram and Global Features

Muqaddas Bin Tahir
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