Generalized multiscale connected operators with applications to granulometric image analysis

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dc.contributor.author Doulamis, A en
dc.contributor.author Doulamis, N en
dc.contributor.author Maragos, P en
dc.date.accessioned 2014-03-01T02:41:53Z
dc.date.available 2014-03-01T02:41:53Z
dc.date.issued 2001 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30652
dc.subject Connected Operator en
dc.subject Image Analysis en
dc.subject Morphological Operation en
dc.subject Scale Dependence en
dc.subject Size Distribution en
dc.subject.other Image reconstruction en
dc.subject.other Mathematical models en
dc.subject.other Mathematical morphology en
dc.subject.other Mathematical operators en
dc.subject.other Granulometric image analysis en
dc.subject.other Multiscale connected operators en
dc.subject.other Multiscale reconstruction en
dc.subject.other Image analysis en
dc.title Generalized multiscale connected operators with applications to granulometric image analysis en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICIP.2001.958211 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICIP.2001.958211 en
heal.publicationDate 2001 en
heal.abstract In this paper, generalized granulometric size distributions and size histograms (a.k.a 'pattern spectra') are developed using generalized multiscale lattice operators of the opening and closing type. The generalized size histograms are applied to granulometric analysis of soilsection images. An interesting structure is obtained when the histogram is based on area openings. Furthermore, a fast implementation of the generalized size histograms is presented using threshold analysis-synthesis. Comparisons with size distributions based on conventional morphological operators indicate that the generalized histograms provide a more direct and informative description of the image content in objects with scale-dependent geometric attributes. Applications are also developed for studying the structure of soilsection images. en
heal.journalName IEEE International Conference on Image Processing en
dc.identifier.doi 10.1109/ICIP.2001.958211 en
dc.identifier.volume 3 en
dc.identifier.spage 684 en
dc.identifier.epage 687 en

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