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Proceedings Paper

Logo detection using wavelet co-occurrence histograms
Author(s): Ali Hesson; Dimitrios Androutsos
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Paper Abstract

In this paper, we propose a retrieval system for logo and trademark images. One technique that has been proposed in the past employs the histogram of edge direction angles to index an image in a database of images. The histogram is called the Edge Directional Histogram (EDH). Our proposed technique is based on using the wavelet decomposition coefficients of an image to build a co-occurrence histogram. We call this histogram the wavelet co-occurrence histogram (WCH). By capturing the edge information and intensity variations in an image, as well as the spatial separation of these variations, the WCH presents a more accurate representation of the image features than the EDH. Results demonstrate that our retrieval system performs better than the EDH.

Paper Details

Date Published: 28 January 2008
PDF: 11 pages
Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 682006 (28 January 2008); doi: 10.1117/12.785076
Show Author Affiliations
Ali Hesson, Ryerson Univ. (Canada)
Dimitrios Androutsos, Ryerson Univ. (Canada)

Published in SPIE Proceedings Vol. 6820:
Multimedia Content Access: Algorithms and Systems II
Theo Gevers; Ramesh C. Jain; Simone Santini, Editor(s)

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