Publicação
Distance measures for image segmentation evaluation
| Resumo: | In this paper we present a study of evaluation measures that enable the quantification of the quality of an image segmentation result. Despite significant advances in image segmentation techniques, evaluation of these techniques thus far has been largely subjective. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images and is otherwise left to subjective evaluation by the reader. Such an evaluation criterion can be useful for different applications: the comparison of segmentation results, the automatic choice of the best fitted parameters of a segmentation method for a given image, or the definition of new segmentation methods by optimization. We first present the state of art of distance evaluation measures, and then, we compare several evaluation criteria. |
|---|---|
| Autores principais: | Monteiro, Fernando C. |
| Outros Autores: | Campilho, Aurélio |
| Assunto: | Benchmark Distance measures Ground truth Segmentation evaluation |
| Ano: | 2012 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173076098088960 |
|---|---|
| author | Monteiro, Fernando C. |
| author2 | Campilho, Aurélio |
| author2_role | author |
| author_facet | Monteiro, Fernando C. Campilho, Aurélio |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Monteiro, Fernando C.\",\"Person.identifier.orcid\":\"0000-0002-1421-8006\"},{\"Person.name\":\"Campilho, Aurélio\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Monteiro, Fernando C. Campilho, Aurélio |
| datacite.date.Accepted.fl_str_mv | 2012-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2014-09-24T10:09:44Z |
| datacite.date.embargoed.fl_str_mv | 2014-09-24T10:09:44Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Benchmark Distance measures Ground truth Segmentation evaluation |
| datacite.titles.title.fl_str_mv | Distance measures for image segmentation evaluation |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Monteiro, Fernando C. Campilho, Aurélio |
| dc.date.Accepted.fl_str_mv | 2012-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2014-09-24T10:09:44Z |
| dc.date.embargoed.fl_str_mv | 2014-09-24T10:09:44Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/10557 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Benchmark Distance measures Ground truth Segmentation evaluation |
| dc.title.fl_str_mv | Distance measures for image segmentation evaluation |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | In this paper we present a study of evaluation measures that enable the quantification of the quality of an image segmentation result. Despite significant advances in image segmentation techniques, evaluation of these techniques thus far has been largely subjective. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images and is otherwise left to subjective evaluation by the reader. Such an evaluation criterion can be useful for different applications: the comparison of segmentation results, the automatic choice of the best fitted parameters of a segmentation method for a given image, or the definition of new segmentation methods by optimization. We first present the state of art of distance evaluation measures, and then, we compare several evaluation criteria. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/3853a04e-1a81-48a7-ac72-dde6768faef8/download |
| id | ipb_c643f0eeea9769696fda08ca4ed441b8 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/10557 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/10557 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Monteiro, Fernando C. Monteiro, Fernando C. https://www.ciencia-id.pt/2019-BDBF-10E2 2019-BDBF-10E2 http://orcid.org/0000-0002-1421-8006 0000-0002-1421-8006 Campilho, Aurélio |
| publishDate | 2012 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engporIn this paper we present a study of evaluation measures that enable the quantification of the quality of an image segmentation result. Despite significant advances in image segmentation techniques, evaluation of these techniques thus far has been largely subjective. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images and is otherwise left to subjective evaluation by the reader. Such an evaluation criterion can be useful for different applications: the comparison of segmentation results, the automatic choice of the best fitted parameters of a segmentation method for a given image, or the definition of new segmentation methods by optimization. We first present the state of art of distance evaluation measures, and then, we compare several evaluation criteria.application/pdfporDistance measures for image segmentation evaluationPersonalMonteiro, Fernando C.DSpacehttp://dspace.org/items/363b6c37-282c-4cd6-bb54-3c97cc700d78DSpacehttp://dspace.org/items/363b6c37-282c-4cd6-bb54-3c97cc700d78MonteiroFernando C.Ciência IDhttps://www.ciencia-id.pt2019-BDBF-10E2ORCIDhttp://orcid.org0000-0002-1421-8006Researcher IDhttps://www.researcherid.comH-9213-2016Scopus Author IDhttps://www.scopus.com8986162600Campilho, AurélioHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-073541091-6DOIIsPartOf10.1063/1.47562572014-09-24T10:09:44Z20122012-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/10557http://purl.org/coar/access_right/c_abf2open accessBenchmarkDistance measuresGround truthSegmentation evaluation179422 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/3853a04e-1a81-48a7-ac72-dde6768faef8/downloadInternational Conference of Numerical Analysis and Applied Mathematics, ICNAAM 20121479794797Kos - Greece |
| spellingShingle | Distance measures for image segmentation evaluation Monteiro, Fernando C. Benchmark Distance measures Ground truth Segmentation evaluation |
| status | SINGLETON |
| subject.fl_str_mv | Benchmark Distance measures Ground truth Segmentation evaluation |
| title | Distance measures for image segmentation evaluation |
| title_full | Distance measures for image segmentation evaluation |
| title_fullStr | Distance measures for image segmentation evaluation |
| title_full_unstemmed | Distance measures for image segmentation evaluation |
| title_short | Distance measures for image segmentation evaluation |
| title_sort | Distance measures for image segmentation evaluation |
| topic | Benchmark Distance measures Ground truth Segmentation evaluation |
| topic_facet | Benchmark Distance measures Ground truth Segmentation evaluation |
| url | http://hdl.handle.net/10198/10557 |
| visible | 1 |