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A Color Image Retrieval Method Based on Local Histogram

  • Chin-Chen Chang
  • Chi-Shiang Chan
  • Ju-Yuan Hsiao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2195)

Abstract

In this paper, we shall propose a color image retrieval method. Among the methods of color image retrieval, the histogram technique only captures the global properties so that it cannot effectively characterize an image. To overcome this drawback, we propose a scheme to capture local properties so that it can do retrieval more accurately. In our method, we segment the original image into several subimage blocks, and we do color histogram with every subimage block. After combining color histogram vectors into a multi-dimensional vector, we use this multi-dimensional vector to search the database for similar images. The experimental results show that our method gives better performance than the original color histogram technique.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Chin-Chen Chang
    • 1
  • Chi-Shiang Chan
    • 1
  • Ju-Yuan Hsiao
    • 2
  1. 1.Department of Computer Science and Information EngineeringNational Chung Cheng UniversityChiayiTaiwan, R.O.C.
  2. 2.Department of Information ManagementNational Changhua University of EducationChanghuaR.O.C.

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