Estimation of fractal dimension of images using a fixed mass approach

Asvestas, P; Matsopoulos, GK; Nikita, KS

dc.contributor.author	Asvestas, P	en
dc.contributor.author	Matsopoulos, GK	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T01:14:35Z
dc.date.available	2014-03-01T01:14:35Z
dc.date.issued	1999	en
dc.identifier.issn	0167-8655	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13158
dc.subject	Box-counting method	en
dc.subject	Correlation algorithm	en
dc.subject	Fractal dimension	en
dc.subject	Kth nearest neighbour method	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer graphics	en
dc.subject.other	Fractals	en
dc.subject.other	Image quality	en
dc.subject.other	Box-counting methods	en
dc.subject.other	Fractal dimensions	en
dc.subject.other	Image analysis	en
dc.title	Estimation of fractal dimension of images using a fixed mass approach	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0167-8655(99)00004-5	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0167-8655(99)00004-5	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	A method from the field of chaotic dynamics is applied for the estimation of fractal dimension of images. The method is compared with other well-known algorithms on a set of computer generated images of known fractal dimension. The results confirm the superiority of the method in terms of accuracy, dynamic range and computational time. (C) 1999 Published by Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Pattern Recognition Letters	en
dc.identifier.doi	10.1016/S0167-8655(99)00004-5	en
dc.identifier.isi	ISI:000079293300011	en
dc.identifier.volume	20	en
dc.identifier.issue	3	en
dc.identifier.spage	347	en
dc.identifier.epage	354	en