Abstract
In this paper, a perceptually motivated morphological strategy (PMMS) has been proposed to enhance the retrieval performance of common shape matching methods. We introduce a human perception custom that should be considered in a shape retrieval approach, and the proposed strategy based on the closing operation could simulate this custom properly. On the most widely used MPEG-7 dataset, we apply the proposed PMMS to improve the retrieval results of a popular shape matching method named Inner-Distance Shape Contexts (IDSC), and then we use the Locally Constrained Diffusion Process (LCDP) to further enhance the performance. This combination achieves a retrieval rate of 98.53%, which is the state-of-the-art performance on MPEG-7 dataset.
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Hu, RX. (2012). A Perceptually Motivated Morphological Strategy for Shape Retrieval. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_14
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DOI: https://doi.org/10.1007/978-3-642-25944-9_14
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