Image retrieval using histograms of uni-color and bi-color blocks and directional changes in intensity gradient

  • Authors:
  • H. Nezamabadi-pour;E. Kabir

  • Affiliations:
  • Department of Electrical Engineering, Tarbiat Modarres University, P.O. Box 14115-143, Tehran, Iran and Department of Electrical Engineering, Image Processing Center, Shahid Bahonar University, Ke ...;Department of Electrical Engineering, Tarbiat Modarres University, P.O. Box 14115-143, Tehran, Iran

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2004

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Abstract

In this paper, we present a new and effective image indexing technique that employs local uni-color and bicolor distributions and local directional distribution of intensity gradient. The image is divided into 4 by 4 nonoverlapping blocks. Each block, based on its gradient magnitude, is classified as uniform or non-uniform. Using the average of each color component for the pixels of a uniform block, its representative color is found. Then the histogram of unicolor uniform blocks of the image, HUCUB, is constructed. To each non-uniform block, two representative colors are assigned. Then the histogram of bi-color non-uniform blocks, HBCNB, is created. To represent the shape content of the image, the histogram of directional changes in intensity gradient, HDCIG, is introduced. Experimental results on a database of 2250 images are reported.