Morphology-based symbolic image modeling, multi-scale nonlinear smoothing, and pattern spectrum

Maragos, P

dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:47:49Z
dc.date.available	2014-03-01T02:47:49Z
dc.date.issued	1988	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33377
dc.subject	Image Analysis	en
dc.subject	Image Modeling	en
dc.subject	Shape Recognition	en
dc.subject	Spectrum	en
dc.subject	Local Search	en
dc.title	Morphology-based symbolic image modeling, multi-scale nonlinear smoothing, and pattern spectrum	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CVPR.1988.196321	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CVPR.1988.196321	en
heal.publicationDate	1988	en
heal.abstract	The author develops a symbolic modeling of images based on their shape-size information. First, multiscale multishape structural distributions in the image are modeled by morphological openings, and a related shape-size descriptor, the pattern spectrum, is developed that can detect critical scales. Then the image is modeled as a nonlinear superposition of simpler parts (the symbols), which are translated and scaled	en
heal.journalName	Computer Vision and Pattern Recognition	en
dc.identifier.doi	10.1109/CVPR.1988.196321	en