Method for Searching Similar Images Using Quality Index Measurement

  • Chin-Chen Chang
  • Tzu-Chuen Lu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3682)


Searching for similar images is an important research topic for multimedia database management. This paper uses a quality index model to search for similar images from digital image databases. In order to speed up retrieval, the quality index model is partitioned into three factors: loss of correlation, luminance distortion, and contrast distortion. The method is performed on three different image databases to test for retrieval accuracy and category retrieval ability. The experimental results show that the proposed method performs better than the color histogram method, the color moment method, and the CDESSO method.


Quality Index Image Retrieval Image Database Query Image Color Histogram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Chin-Chen Chang
    • 1
    • 2
  • Tzu-Chuen Lu
    • 2
  1. 1.Feng Chia UniversityTaichungTaiwan, R.O.C.
  2. 2.National Chung Cheng UniversityChiayiTaiwan, R.O.C.

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