Matching contours in images using curvature information

Bibliographic Details
Main Author: Francisco Paulo Marques de Oliveira
Publication Date: 2008
Other Authors: João Manuel Ribeiro da Silva Tavares
Format: Book
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/4173
Summary: The work here described consists in searching for the optimum global matching between contours of two objects represented in images, which are sampled by equal or different number of points. Thus, to determine the optimum global matching between the points of two contours, it is used curvature information, that is totally invariant to rigid transformations. For the case of contours sampled by different numbers of points, two approaches are proposed to exclude, from the matching process, the additional points. In the last section of this paper, a method for the determination of the rigid transformation associated to two contours that is based in the same solution considered in our matching process is also described.
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spelling Matching contours in images using curvature informationTecnologia médica, Engenharia mecânicaMedical technology, Mechanical engineeringThe work here described consists in searching for the optimum global matching between contours of two objects represented in images, which are sampled by equal or different number of points. Thus, to determine the optimum global matching between the points of two contours, it is used curvature information, that is totally invariant to rigid transformations. For the case of contours sampled by different numbers of points, two approaches are proposed to exclude, from the matching process, the additional points. In the last section of this paper, a method for the determination of the rigid transformation associated to two contours that is based in the same solution considered in our matching process is also described.20082008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/4173engFrancisco Paulo Marques de OliveiraJoão Manuel Ribeiro da Silva Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T20:12:45Zoai:repositorio-aberto.up.pt:10216/4173Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:56:24.900944Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Matching contours in images using curvature information
title Matching contours in images using curvature information
spellingShingle Matching contours in images using curvature information
Francisco Paulo Marques de Oliveira
Tecnologia médica, Engenharia mecânica
Medical technology, Mechanical engineering
title_short Matching contours in images using curvature information
title_full Matching contours in images using curvature information
title_fullStr Matching contours in images using curvature information
title_full_unstemmed Matching contours in images using curvature information
title_sort Matching contours in images using curvature information
author Francisco Paulo Marques de Oliveira
author_facet Francisco Paulo Marques de Oliveira
João Manuel Ribeiro da Silva Tavares
author_role author
author2 João Manuel Ribeiro da Silva Tavares
author2_role author
dc.contributor.author.fl_str_mv Francisco Paulo Marques de Oliveira
João Manuel Ribeiro da Silva Tavares
dc.subject.por.fl_str_mv Tecnologia médica, Engenharia mecânica
Medical technology, Mechanical engineering
topic Tecnologia médica, Engenharia mecânica
Medical technology, Mechanical engineering
description The work here described consists in searching for the optimum global matching between contours of two objects represented in images, which are sampled by equal or different number of points. Thus, to determine the optimum global matching between the points of two contours, it is used curvature information, that is totally invariant to rigid transformations. For the case of contours sampled by different numbers of points, two approaches are proposed to exclude, from the matching process, the additional points. In the last section of this paper, a method for the determination of the rigid transformation associated to two contours that is based in the same solution considered in our matching process is also described.
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-01-01T00:00:00Z
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