Chapter

Advances in Multimedia Information Processing — PCM 2001

Volume 2195 of the series Lecture Notes in Computer Science pp 831-836

Date:

A Color Image Retrieval Method Based on Local Histogram

  • Chin-Chen ChangAffiliated withDepartment of Computer Science and Information Engineering, National Chung Cheng University
  • , Chi-Shiang ChanAffiliated withDepartment of Computer Science and Information Engineering, National Chung Cheng University
  • , Ju-Yuan HsiaoAffiliated withDepartment of Information Management, National Changhua University of Education

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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.