Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1974
Title: Skeleton Filling Rate for Shape Recognition
Authors: Şirin, Yahya
Demirci, Muhammed Fatih
143569
Keywords: shape recognition
skeletal representation
Earth Mover's Distance
Issue Date: 2014
Publisher: IEEE Computer SOC
Source: Sirin, Y., & Demirci, M. F. (2014, August). Skeleton filling rate for shape recognition. In 2014 22nd International Conference on Pattern Recognition (pp. 4005-4009). IEEE.
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.
Description: 22nd International Conference on Pattern Recognition (ICPR) (2014 : Stockholm, SWEDEN)
URI: https://ieeexplore.ieee.org/document/6977399
https://hdl.handle.net/20.500.11851/1974
ISBN: 978-1-4799-5208-3
ISSN: 1051-4651
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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