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논문검색

Adaptive-Binning Color Histogram for Image Information Retrieval

초록

영어

From the 90's, the image information retrieval methods have been on progress. As good
examples of the methods, Conventional histogram method and merged-color histogram
method were introduced. They could get good result in image retrieval. However,
Conventional histogram method has disadvantages if the histogram is shifted as a result of
intensity change. Merged-color histogram, also, causes more process so, it needs more time
to retrieve images. In this paper, we propose an improved new method using Adaptive Color
Histogram (ACH) in image retrieval. The proposed method has been tested and verified
through a number of simulations using hundreds of images in a database. The simulation
results have quickly yielded the highly accurate candidate images in comparison to other
retrieval methods. We show that ACH's can give superior results to color histograms for
image retrieval.

목차

Abstract
 1. Introduction
 2. Histogram
  2.1 Introduction of histogram
 3. Adaptive color histogram
  3.1 Start point of histogram
  3.2 Histogram bins
  3.3 Matching method
 4. Experiments
 5. Conclusions
 6. References

키워드

저자정보

  • Seung-Sun Yoo 1Department of Computer Engineering, Chonbuk National University
  • Yong-tae Kim Department of Multimedia Engineering, Hannam University
  • Sang-Jo Youk Department of Multimedia Engineering, Hannam University
  • Jae-Hong Kim Department of Computer Engineering , Youngdong University

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