An Efficient Perceptual Color Indexing Method for Content-Based Image Retrieval Using Uniform Color Space

  • Ahmed Talib
  • Massudi Mahmuddin
  • Husniza Husni
  • Loay E. George
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 285)

Abstract

Dominant Color Descriptor (DCD) is one of the famous descriptors in Content-based image retrieval (CBIR). Sequential search is one of the common drawbacks of most color descriptors especially in large databases. In this paper, dominant colors of an image are indexed to avoid sequential search in the database where uniform RGB color space is used to index images in LUV perceptual color space. Proposed indexing method will speed up the retrieval process where the dominant colors in query image are used to reduce the search space. Additionally, the accuracy of color descriptors is improved due to this space reduction. Experimental results show effectiveness of the proposed color indexing method in reducing search space to less than 25 % without degradation the accuracy.

Keywords

Color indexing Dominant color descriptor LUV color space RGB color space Database search space 

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Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Ahmed Talib
    • 1
    • 2
  • Massudi Mahmuddin
    • 1
  • Husniza Husni
    • 1
  • Loay E. George
    • 3
  1. 1.Computer Science Department, School of ComputingUniversity Utara MalaysiaSintokMalaysia
  2. 2.IT Department, Technical College of ManagementFoundation of Technical Education, Bab Al-MuadhamBaghdadIraq
  3. 3.Computer Science Department, College of ScienceBaghdad UniversityAl-Jadriya, BaghdadIraq

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