On the use of color histograms for content based image retrieval in various color spaces

  • Authors:

  • K. Konstantinidis;I. Andreadis

  • Affiliations:

  • Laboratory of Electronics, Section of Electronics and Information Systems Technology, Department of Electrical and Computer Engineering, Democritus University of Thrace, GR-67100 Xanthi, Greece;Laboratory of Electronics, Section of Electronics and Information Systems Technology, Department of Electrical and Computer Engineering, Democritus University of Thrace, GR-67100 Xanthi, Greece

  • Venue:
  • ICCMSE '03 Proceedings of the international conference on Computational methods in sciences and engineering
  • Year:
  • 2003

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Abstract

As digital image libraries are already overpopulated, the development of improved methods for better indexing and retrieving images from such libraries (databases), has become an imperative issue. Content-based Image Retrieval (CBIR) is a technique for retrieving images on the basis of automatically-derived features such as color, texture and shape. The features used for retrieval can be either primitive or semantic, but the extraction process must be predominantly automatic [1]. A large number of applications, including military, industrial and civilian generate gigabytes of images daily. As a result, there is a huge amount of information which cannot be accessed or made use of unless it is organized [3]. By organized it is meant that appropriate indexing is available in order to allow efficient browsing, searching and retrieving as in keyword searches of text databases. The easiest way to search is with the use of query by example, which means that the user has to present an image to the system and the latter searches for others alike by extracting features from the example and comparing them to the ones stored in the database.