Logo detection using wavelet co-occurrence histograms

Ali Hesson; Dimitrios Androutsos

doi:10.1117/12.785076

28 January 2008 Logo detection using wavelet co-occurrence histograms

Ali Hesson, Dimitrios Androutsos

Proceedings Volume 6820, Multimedia Content Access: Algorithms and Systems II; 682006 (2008) https://doi.org/10.1117/12.785076
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Ali Hesson and Dimitrios Androutsos "Logo detection using wavelet co-occurrence histograms", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 682006 (28 January 2008); https://doi.org/10.1117/12.785076

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