Pattern Spectrum and Multiscale Shape Representation

Maragos, P

dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:39:32Z
dc.date.available	2014-03-01T01:39:32Z
dc.date.issued	1989	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/22868
dc.subject	Binary Image	en
dc.subject	Euclidean Space	en
dc.subject	Shape Description	en
dc.subject	Shape Representation	en
dc.subject	Spectrum	en
dc.title	Pattern Spectrum and Multiscale Shape Representation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/34.192465	en
heal.identifier.secondary	http://dx.doi.org/10.1109/34.192465	en
heal.publicationDate	1989	en
heal.abstract	The results of a study on multiscale shape description, smoothing and representation are reported. Multiscale nonlinear smoothing filters are first developed, using morphological opening and closings. G. Matheron (1975) used openings and closings to obtain probabilistic size distributions of Euclidean-space sets (continuous binary images). These distributions are used to develop a concept of pattern spectrum (a shape-size descriptor). A pattern	en
heal.journalName	IEEE Transactions on Pattern Analysis and Machine Intelligence	en
dc.identifier.doi	10.1109/34.192465	en