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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Perceptually Motivated Morphological Strategy for Shape Retrieval
verfasst von : Rong-Xiang Hu
Erschienen in: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.