Shape-stable region boundary extraction via Affine Morphological Scale Space (AMSS)

Kapsalas, P; Kollias, S

dc.contributor.author	Kapsalas, P	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:46:59Z
dc.date.available	2014-03-01T02:46:59Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32973
dc.subject	affine invariant regions	en
dc.subject	diffusivity velocity map	en
dc.subject	morphological scale space	en
dc.subject.other	Affine invariant	en
dc.subject.other	Affine transformations	en
dc.subject.other	Anisotropic Diffusion	en
dc.subject.other	Boundary shapes	en
dc.subject.other	Different scale	en
dc.subject.other	Diffusivities	en
dc.subject.other	Gaussian scale space	en
dc.subject.other	Image regions	en
dc.subject.other	Image representations	en
dc.subject.other	Morphological scale-space	en
dc.subject.other	Multiscales	en
dc.subject.other	New approaches	en
dc.subject.other	Scale-space	en
dc.subject.other	Stable boundary	en
dc.subject.other	Stable region	en
dc.subject.other	State of the art	en
dc.subject.other	Transition boundaries	en
dc.subject.other	Velocity maps	en
dc.subject.other	Detectors	en
dc.subject.other	Diffusion	en
dc.title	Shape-stable region boundary extraction via Affine Morphological Scale Space (AMSS)	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1873951.1874190	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1873951.1874190	en
heal.publicationDate	2010	en
heal.abstract	In this paper we present a new approach towards the extraction of affine image regions based on detecting shape-stable boundaries from a multi-scale image representation. We construct an affine morphological scale space (AMSS) representation [1], which performs anisotropic diffusion while preserving boundaries and being invariant to affine transformations. We extract the transition boundaries of the diffusivity velocity map and track their evolution at each level of the scale-space. We then determine the stability of the boundary shape through a minimization process over different scales. Unlike most state of the art detectors which use the Gaussian scale space for multi-scale image representation, our approach is intrinsically affine invariant. We evaluate our detector by measuring repeatability of regions in transformed images of the same scene and comparing it to the state-of-the-art region detectors [2]. © 2010 ACM.	en
heal.journalName	MM'10 - Proceedings of the ACM Multimedia 2010 International Conference	en
dc.identifier.doi	10.1145/1873951.1874190	en
dc.identifier.spage	1215	en
dc.identifier.epage	1218	en