Relative position-based spatial relationships using mathematical morphology

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dc.citation.epageII-100en_US
dc.citation.spageII-97en_US
dc.contributor.authorCinbiş, R. Gökberken_US
dc.contributor.authorAksoy, Selimen_US
dc.coverage.spatialSan Antonio, TX, USA
dc.date.accessioned2016-02-08T11:39:30Z
dc.date.available2016-02-08T11:39:30Z
dc.date.issued2007-09-10en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 16 Sept.-19 Oct. 2007
dc.descriptionConference name: 2007 IEEE International Conference on Image Processing
dc.description.abstractSpatial information is a crucial aspect of image understanding for modeling context as well as resolving the uncertainties caused by the ambiguities in low-level features. We describe intuitive, flexible and efficient methods for modeling pairwise directional spatial relationships and the ternary between relation using fuzzy mathematical morphology. First, a fuzzy landscape is constructed where each point is assigned a value that quantifies its relative position according to the reference object(s) and the type of the relationship. Then, the degree of satisfaction of this relation by a target object is computed by integrating the corresponding landscape over the support of the target region. Our models support sensitivity to visibility to handle areas that are partially enclosed by objects and are not visible from image points along the direction of interest. They can also cope with the cases where one object is significantly spatially extended relative to others. Experiments using synthetic and real images show that our models produce more intuitive results than other techniques. ©2007 IEEE.en_US
dc.identifier.doi10.1109/ICIP.2007.4379101en_US
dc.identifier.urihttp://hdl.handle.net/11693/26917
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICIP.2007.4379101en_US
dc.source.titleProceedings - International Conference on Image Processing, ICIP 2007en_US
dc.subjectBetweenen_US
dc.subjectFuzzy setsen_US
dc.subjectMathematical morphologyen_US
dc.subjectRelative positionen_US
dc.subjectSpatial relationshipsen_US
dc.subjectDegree of satisfactionsen_US
dc.subjectEfficient methodsen_US
dc.subjectFuzzy mathematical morphologiesen_US
dc.subjectImage pointsen_US
dc.subjectReal imagesen_US
dc.subjectReference objectsen_US
dc.subjectRelative positionen_US
dc.subjectSpatial informationsen_US
dc.subjectSpatial relationshipsen_US
dc.subjectTarget objectsen_US
dc.subjectTarget regionsen_US
dc.subjectDigital image storageen_US
dc.subjectImage processingen_US
dc.subjectImaging systemsen_US
dc.subjectMorphologyen_US
dc.titleRelative position-based spatial relationships using mathematical morphologyen_US
dc.typeConference Paperen_US

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