Detection and thinning of edges in previously known directions

dc.contributorUniversidade do Oeste Paulista (UNOESTE)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:23:34Z
dc.date.available2014-05-20T13:23:34Z
dc.date.created2014-05-20T13:23:34Z
dc.date.issued2009-01-01
dc.identifierBoletim de Ciências Geodesicas. Curitiba Pr: Universidade Federal do Paraná (UFPR), Centro Politecnico, v. 15, n. 2, p. 157-177, 2009.
dc.identifier1413-4853
dc.identifierhttp://hdl.handle.net/11449/7128
dc.identifierWOS:000268706400001
dc.identifierWOS000268706400001.pdf
dc.identifier6469656882616214
dc.description.abstractThis work presents a study on the generation of digital masks aiming at edge detection with previously known directions. This solution is important when edge direction is available either from a direction histogram or from a prediction based on camera and object models. A modification in the non-maximum suppression method of thinning is also presented enabling the comparison of local maxima for any edge directions. Results with a synthetic image and with crops of a CBERS satellite images are presented showing an example with its application in road detection, provided that directions are previously known.
dc.languagepor
dc.publisherUniversidade Federal do Paraná (UFPR), Centro Politecnico
dc.relationBoletim de Ciências Geodésicas
dc.relation0,188
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectSegmentation
dc.subjectAdaptative Edge Detection
dc.subjectThinning
dc.titleDetection and thinning of edges in previously known directions
dc.typeArtículos de revistas


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