Fusion of dominant colour and spatial layout features for effective image retrieval of coloured logos and trademarks

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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153 Downloads (Pure)


Due to its uniqueness and high value in commercial side, logos and trademarks play a key role in e-business based global marketing. Detecting misused and faked logos need designated and accurate image processing and retrieval techniques. However, existing colour and shape based retrieval techniques, which are mainly designed for natural images, cannot provide effective retrieval of logo images. In this paper, an effective approach is proposed for content-based image retrieval of coloured logos and trademarks. By extracting the dominant colour from colour quantization and measuring the spatial similarity, fusion of colour and spatial layout features is achieved. The proposed approach has been tested on a database containing over 250 logo images. Experimental results show that the proposed methodology yields more accurate results in retrieving relevant images than conventional approaches even with added Gaussian and Salt&pepper noise.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Multimedia Big Data
Pages306 - 311
Number of pages6
ISBN (Print)978-1-4799-8688-0
Publication statusPublished - Apr 2015



  • image retrieval
  • dominant colour descriptor
  • spatial layout
  • logo and trademark retrieval

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