Приказ основних података о документу

dc.contributor.authorIvković, Ratko
dc.contributor.authorMilošević, Ivana
dc.contributor.authorPetrović, Mile
dc.contributor.authorSpalević, Petar
dc.contributor.authorPanić, Stefan
dc.date.accessioned2022-09-27T09:49:25Z
dc.date.available2022-09-27T09:49:25Z
dc.date.issued2018
dc.identifier.urihttps://platon.pr.ac.rs/handle/123456789/677
dc.description.abstractSegmentation is one of the latest directions of digital imaging development, presented by partial segments which are parts of the same image. The currently used algorithms are rare and far from ideal. Depending on the situation, algorithms behave differently, so it is almost impossible to single out a unique conclusion. This paper gives a proposal for new segmentation techniques for the digital image processing with auxiliary Sobel edge detection algorithm and specially a defined threshold of detection. Matlab software is used for giving a particular conceptual design of a partial display of images and for correlating adequate numerical methods of digital processing. The study results confirm the quality of the proposed algorithm and position it for practical use and they also give guidelines for further improvements.en_US
dc.language.isoen_USen_US
dc.publisherSINTEZAen_US
dc.rightsАуторство-Некомерцијално-Без прерада 3.0 САД*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.titleImage Segmentation By Sobel Edge Detection Algorithm - Mosaic Methoden_US
dc.title.alternativeSINTEZAen_US
dc.typeclanak-u-casopisuen_US
dc.description.versionpublishedVersionen_US
dc.identifier.doi10.15308/Sinteza-2018-189-196
dc.subject.keywordsdigital image processingen_US
dc.subject.keywordsimage segmentationen_US
dc.subject.keywordsmosaic methoden_US
dc.type.mCategoryM33en_US
dc.type.mCategoryopenAccessen_US
dc.type.mCategoryM33en_US
dc.type.mCategoryopenAccessen_US


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Приказ основних података о документу

Ауторство-Некомерцијално-Без прерада 3.0 САД
Осим где је другачије наведено, лиценца овог рада је описана саАуторство-Некомерцијално-Без прерада 3.0 САД