16 April 2014 Edge orientation spatiogram for silhouette image retrieval
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Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91591G (2014) https://doi.org/10.1117/12.2064405
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece
Abstract
The edges provide important visual information. In order to enhance the description ability for image edges, a new descriptor is proposed by integrating the spatial distribution information of edge points with the edge orientation histogram (EOH), which is called edge orientation spatiogram (EOS). In order to invariant to scale transformation, translation, we utilize the polar radius to represent the spatial information for each edge point by using image centroid as origin. We test EOS on the MPEG7 database with several similarity measure methods and evaluate the performance in silhouette image retrieval scenario. The experimental results show that the edge feature descriptor EOS has a better performance than the traditional descriptor EOH.
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Yan Yu, Yan Yu, Tianjiang Wang, Tianjiang Wang, Yanli Liu, Yanli Liu, } "Edge orientation spatiogram for silhouette image retrieval", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591G (16 April 2014); doi: 10.1117/12.2064405; https://doi.org/10.1117/12.2064405
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