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28 January 2008 Logo detection using wavelet co-occurrence histograms
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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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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