Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9915
Title: Registration and optimization in fintropic graphs using branch skeleton features
Authors: Ergün, Aslı
Ergün, Serkan
Ünlü, Mehmet Zübeyir
Güngör, Cengiz
Keywords: Entropic graphs
image registration
parameter search optimization technique
skeleton branch features
Publisher: Institute of Electrical and Electronics Engineers Inc.
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: In image registration process, it is necessary to find the similarity of the images and thetranslation, rotation and scaling transformation parameter values that maximize the similarity between the two images. When the similarity measure and related parameters are calculated, information theory based entropic graphs can be used. In this study, similarity and optimization measures are compared on different entropic graphs. It has been seen that skeleton branch feature points to build entropic graphs give successful results.
Description: 25th Signal Processing and Communications Applications Conference (SIU)
URI: https://hdl.handle.net/11147/9915
ISBN: 978-1-5090-6494-6
ISSN: 2165-0608
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

Page view(s)

66
checked on Jun 24, 2024

Google ScholarTM

Check




Altmetric


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