An efficient multiresolution texture classification scheme using neural networks

Delopoulos, A; Sukissian, L; Kollias, S

dc.contributor.author	Delopoulos, A	en
dc.contributor.author	Sukissian, L	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:13:34Z
dc.date.available	2014-03-01T01:13:34Z
dc.date.issued	1998	en
dc.identifier.issn	0020-7160	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12568
dc.subject	2D linear prediction	en
dc.subject	ANNs	en
dc.subject	Multiresolution decomposition	en
dc.subject	Texture classification	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	IMAGES	en
dc.title	An efficient multiresolution texture classification scheme using neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/00207169808804657	en
heal.identifier.secondary	http://dx.doi.org/10.1080/00207169808804657	en
heal.language	English	en
heal.publicationDate	1998	en
heal.abstract	An efficient multiresolution texture classification method is proposed in this paper, based on 2-D linear prediction, multi resolution decomposition and artificial neural networks. A multiresolution spectral analysis of textured images is first developed, which permits 2-D AR texture modelling to be performed in multiple resolutions. Recursive estimation algorithms combined witth the Itakura distance measure provide sets of AR model parameters representing different textures at various resolutions. Appropriate neural network banks are constructed and trained being then able to effectively perform classification of textures irrespective of their resolution level. Results are presented using real textured images which illustrate the good performance of the proposed approach.	en
heal.publisher	GORDON BREACH SCI PUBL LTD	en
heal.journalName	International Journal of Computer Mathematics	en
dc.identifier.doi	10.1080/00207169808804657	en
dc.identifier.isi	ISI:000072536500011	en
dc.identifier.volume	67	en
dc.identifier.issue	1-2	en
dc.identifier.spage	155	en
dc.identifier.epage	168	en