Please use this identifier to cite or link to this item:
Title: Efficient Shape Recognition with Skeleton Filling Rate
Other Titles: İskelet doldurma oranı ile verimli şekil tanıma
Authors: Şirin, Yahya
Demirci, Muhammed Fatih
Keywords: Shape recognition
Shape representation
Earth Mover's Distance
Issue Date: 2014
Publisher: IEEE
Source: Şirin, Y., & Demirci, M. F. (2014, April). Efficient shape recognition with skeleton filling rate. In 2014 22nd Signal Processing and Communications Applications Conference (SIU)(pp. 441-444). 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 IEEE Signal Processing and Communications Applications Conference (SIU) (2014 : Trabzon, TURKEY)
ISBN: 978-1-4799-4874-1
ISSN: 2165-0608
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

Show full item record

CORE Recommender


checked on Sep 23, 2022

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.