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DC poleHodnotaJazyk
dc.contributor.authorAbdulrahman, Hasan
dc.contributor.authorMagnier, Baptiste
dc.contributor.authorMontesinos, Philippe
dc.date.accessioned2017-09-01T09:59:18Z
dc.date.available2017-09-01T09:59:18Z
dc.date.issued2017
dc.identifier.citationJournal of WSCG. 2017, vol. 25, no. 2, p. 133-142.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.uriwscg.zcu.cz/WSCG2017/!_2017_Journal_WSCG-No-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/26291
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectdetekce hrancs
dc.subjectzemní skutečnostcs
dc.subjectkontrolované hodnocenícs
dc.subjectměřená vzdálenostcs
dc.subjectobjektivní hodnocenícs
dc.titleFrom contours to ground truth: how to evaluate edge detectors by filteringen
dc.typearticleen
dc.typečlánekcs
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedEdge detection remains a crucial stage in numerous image processing applications. Thus, an edge detection technique needs to be assessed before use it in a computer vision task. As dissimilarity evaluations depend strongly of a ground truth edge map, an inaccurate datum in terms of localization could advantage inaccurate precise edge detectors or/and favor inappropriate a dissimilarity evaluation measure. Hence, in this work, we demonstrate how to label these ground truth data in a semi-automatic way. Moreover, several referenced-based boundary detection evaluations are detailed and applied toward an objective assessment. Thus, each measure is compared by varying the threshold of the thin edges. Indeed, theoretically, the minimum score of the measure corresponds to the best edge map, compared to the ground truth. Finally, experiments on many images using six edge detectors show that the new ground truth database allows an objective comparison of numerous dissimilarity measures.en
dc.subject.translatededge detectionen
dc.subject.translatedground truthen
dc.subject.translatedsupervised evaluationen
dc.subject.translateddistance measureen
dc.subject.translatedobjective evaluationen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 25, Number 2 (2017)

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