Journal of Electronics (China)

, Volume 23, Issue 2, pp 220–224 | Cite as

An image retrieval method based on spatial distribution of color

  • Niu Lei 
  • Ni Lin 
  • Miao Yuan 


Color histogram is now widely used in image retrieval. Color histogram-based image retrieval methods are simple and efficient but without considering the spatial distribution information of the color. To overcome the shortcoming of conventional color histogram-based image retrieval methods, an image retrieval method based on Radon Transform (RT) is proposed. In order to reduce the computational complexity, wavelet decomposition is used to compress image data. Firstly, images are decomposed by Mallat algorithm. The low-frequency components are then projected by RT to generate the spatial color feature. Finally the moment feature matrices which are saved along with original images are obtained. Experimental results show that the RT based retrieval is more accurate and efficient than traditional color histogram-based method in case that there are obvious objects in images. Further more, RT based retrieval runs significantly faster than the traditional color histogram methods.

Key words

Content-Based Image Retrieval (CBIR) Radon transform Wavelet transform 


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Copyright information

© Science Press 2006

Authors and Affiliations

  1. 1.Dept of Electronic Eng. and Info. ScienceUniversity of Sci. and Tech. of ChinaHefeiChina
  2. 2.School of Computer Science and MathematicsVictoria UniversityAustralia

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