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Performance evaluation of image segmentation

dc.contributor.authorMonteiro, Fernando C.
dc.contributor.authorCampilho, Aurélio
dc.date.accessioned2010-02-11T12:23:40Z
dc.date.available2010-02-11T12:23:40Z
dc.date.issued2006
dc.description.abstractIn spite of significant advances in image segmentation techniques, evaluation of these methods thus far has been largely subjective. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images that are evaluated by some method, or it is otherwise left to subjective evaluation by the reader. We propose a new approach for evaluation of segmentation that takes into account not only the accuracy of the boundary localization of the created segments but also the under-segmentation and over-segmentation effects, regardless to the number of regions in each partition. In addition, it takes into account the way humans perceive visual information. This new metric can be applied both to automatically provide a ranking among different segmentation algorithms and to find an optimal set of input parameters of a given algorithm.pt
dc.identifier.citationMonteiro, Fernando C.; Campilho, Aurélio (2006). Performance evaluation of image segmentation. IN Image Analysis and Recognition. Berlin: Springer. ISBN 978-3-540-44891-4. p.248-259.pt
dc.identifier.isbn978-3-540-44891-4
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10198/1841
dc.language.isoengpt
dc.publisherSpringerpt
dc.relation.ispartofseriesLecture Notes in Computer Science;4141
dc.subjectPerformance evaluationpt
dc.subjectSegmentation measurespt
dc.titlePerformance evaluation of image segmentationpt
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceBerlinpt
oaire.citation.endPage259pt
oaire.citation.startPage248pt
oaire.citation.titleImage Analysis and Recognitionpt
person.familyNameMonteiro
person.givenNameFernando C.
person.identifier.ciencia-id2019-BDBF-10E2
person.identifier.orcid0000-0002-1421-8006
person.identifier.ridH-9213-2016
person.identifier.scopus-author-id8986162600
rcaap.rightsopenAccesspt
rcaap.typebookPartpt
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication.latestForDiscovery363b6c37-282c-4cd6-bb54-3c97cc700d78

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