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• W2020288788 abstract "As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by drawing circles of increasing radius around skeleton points. Since each skeleton corresponds to the center of a maximally inscribed circle, this process results in circles that are partially inside the shape. Computing the ratio between pixels that lie within the shape and the total number of pixels allows us to distinguish shapes with similar skeletons. Experimental evaluation of the proposed approach including a comparison with the previous techniques demonstrates both effectiveness and robustness of our algorithm for shape retrieval experiments." @default.
• W2020288788 created "2016-06-24" @default.
• W2020288788 creator A5024342987 @default.
• W2020288788 creator A5050989522 @default.
• W2020288788 date "2014-04-01" @default.
• W2020288788 modified "2023-09-23" @default.
• W2020288788 title "Efficient shape recognition with skeleton filling rate" @default.
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• W2020288788 doi "https://doi.org/10.1109/siu.2014.6830260" @default.
• W2020288788 hasPublicationYear "2014" @default.
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