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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/99259
DC FieldValue
dc.titleEfficient edge detection using hierarchical structures
dc.contributor.authorTan, C.L.
dc.contributor.authorLoh, S.K.K.
dc.date.accessioned2014-10-27T06:02:14Z
dc.date.available2014-10-27T06:02:14Z
dc.date.issued1993-01
dc.identifier.citationTan, C.L.,Loh, S.K.K. (1993-01). Efficient edge detection using hierarchical structures. Pattern Recognition 26 (1) : 127-135. ScholarBank@NUS Repository.
dc.identifier.issn00313203
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/99259
dc.description.abstractEdge detection can be enhanced by using hierarchical structures to improve both speed and quality of edge maps. Three new techniques are proposed to further improve on current techniques, working to produce edge maps more efficiently and improve the planning process in noisy maps. By putting the hierarchical planning at upper levels and any edge detection operation at the lowest level, much wasteful edge searching can be avoided. © 1993.
dc.sourceScopus
dc.subjectComputer vision
dc.subjectEdge detection
dc.subjectHierarchical structures
dc.subjectPyramid
dc.typeArticle
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.description.sourcetitlePattern Recognition
dc.description.volume26
dc.description.issue1
dc.description.page127-135
dc.description.codenPTNRA
dc.identifier.isiutNOT_IN_WOS
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