Similarity evaluation based on image primitives

  • Authors:
  • Sven Scholz

  • Affiliations:
  • Freie Universität Berlin, Berlin, Germany

  • Venue:
  • SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
  • Year:
  • 2008

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Abstract

A new framework for the perceptually relevant comparison of figurative images, especially trademark logos is presented in this paper. Images are divided into salient geometric figures such as rectangles, ellipses, and triangles. Parts not fitting into any of those simple classes are represented by their boundaries. The figures are classified, related, and weighted according to their perceptual relevance. For the comparison of two images the figures and the relations are compared independently from each other. For the comparison of single figures a simple measure of similarity based on registration techniques is applied, which is noise tolerant and shows good results for figurative images that have no spatially independent parts. The similarity of the images is then determined by the similarities of the figures and the relations for the best match. The algorithms were tested with a collection of 10 745 trademark images from the UK PTO, with the same set of 24 reference queries that were used to test the ARTISAN System. Each query consists of a query image and a list of relevant images, compiled by experienced trademark examiners. The experiments show that the presented approach allows for a considerable improvement of content based image retrieval in trademark images.