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dc.creatorČisar, Petar
dc.creatorMaravić-Cisar, Sanja
dc.creatorMarkoski, Branko
dc.date.accessioned2019-03-21T16:02:44Z
dc.date.available2019-03-21T16:02:44Z
dc.date.issued2013
dc.identifier.issn2380-8586
dc.identifier.urihttp://jakov.kpu.edu.rs/handle/123456789/514
dc.description.abstractEdge detection is an important operation in the analysis of a digital image and includes a set of mathematical methods to identify points of discontinuity. For this purpose, different algorithms are used for estimating image gradient. Many edge detection techniques are implemented with convolution mask and based on discrete approximations to differential operators. Differential operations measure the rate of change in the image brightness function. The compass approach implies taking a single mask and rotating it to major compass orientations. Using a suitable programming environment, this paper provides a comparative visual analysis of several digital images, with the ability to change the kernel set in compass edge detection.en
dc.publisherIEEE, New York
dc.rightsrestrictedAccess
dc.source14th IEEE international symposium on computational intelligence and informatics (cinti)
dc.titleKernel Sets in Compass Edge Detectionen
dc.typeconferenceObject
dc.rights.licenseARR
dcterms.abstractЧисар, Петар; Маравић-Цисар, Сања; Маркоски, Бранко;
dc.citation.spage239
dc.citation.epage242
dc.citation.other: 239-242
dc.identifier.doi10.1109/CINTI.2013.6705199
dc.identifier.rcubconv_1122
dc.identifier.scopus2-s2.0-84893723978
dc.identifier.wos000345626300040
dc.type.versionpublishedVersion


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