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Edge Detection in Wavelet Transform Domain

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dc.contributor.authorCho, Woon-
dc.contributor.authorJeon, Joonhyeon-
dc.date.accessioned2024-09-26T14:01:08Z-
dc.date.available2024-09-26T14:01:08Z-
dc.date.issued2015-05-
dc.identifier.issn2165-1051-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/25323-
dc.description.abstractThis paper describes an efficient and accurate method using two 2-Dimensional bandpass filtered signals for edge detection of images, which are obtained by decomposing an image into two high frequency subband images in wavelet domain. Simulation results show that the proposed method has high accuracy in detecting the edge areas of image as is compared to existing methods. It provides new insights in overcoming the scale sensitivity and noises in edge detection.-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleEdge Detection in Wavelet Transform Domain-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/FCV.2015.7103718-
dc.identifier.scopusid2-s2.0-84937153558-
dc.identifier.wosid000380375500021-
dc.identifier.bibliographicCitation2015 21ST KOREA-JAPAN JOINT WORKSHOP ON FRONTIERS OF COMPUTER VISION-
dc.citation.title2015 21ST KOREA-JAPAN JOINT WORKSHOP ON FRONTIERS OF COMPUTER VISION-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusSOBEL-
dc.subject.keywordAuthoredge detection-
dc.subject.keywordAuthordigital image processing-
dc.subject.keywordAuthorband decomposition-
dc.subject.keywordAuthorwavelet transform-
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