dc.contributor.author | Ασβεστάς, Παντελής Α. | el |
dc.contributor.author | Ματσόπουλος, Γεώργιος Κ. | el |
dc.contributor.author | Νικήτα, Κωνσταντίνα Σ. | el |
dc.date.accessioned | 2015-01-14T09:15:14Z | |
dc.date.available | 2015-01-14T09:15:14Z | |
dc.date.issued | 2015-01-14 | |
dc.identifier.uri | http://hdl.handle.net/11400/3986 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | http://www.elsevier.com | en |
dc.subject | Correlation algorithm | |
dc.subject | Box-counting method | |
dc.subject | Αλγόριθμος συσχέτισης | |
dc.subject | Μέθοδος καταμέτρησης Box | |
dc.title | Estimation of fractal dimension of images using a fixed mass approach | en |
heal.type | journalArticle | |
heal.classification | Medicine | |
heal.classification | Computer engineering | |
heal.classification | Ιατρική | |
heal.classification | Μηχανική υπολογιστών | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh00006614 | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh85029495 | |
heal.classificationURI | **N/A**-Ιατρική | |
heal.classificationURI | **N/A**-Μηχανική υπολογιστών | |
heal.identifier.secondary | PII: S 0 1 6 7 - 8 6 5 5 ( 9 9 ) 0 0 0 0 4 - 5 | |
heal.language | en | |
heal.access | free | |
heal.recordProvider | Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε. | el |
heal.publicationDate | 1999 | |
heal.bibliographicCitation | Asvestas, P., Matsopoulos, G. and Nikita, K. (March 1999). Estimation of fractal dimension of images using a fixed mass approach. Pattern Recognition Letters. 20(3). pp. 347–354. Elsevier Science Ltd. Available from: http://www.sciencedirect.com [Accessed 16/04/2003] | 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. | en |
heal.publisher | Elsevier Science Ltd | en |
heal.journalName | Pattern Recognition Letters | en |
heal.journalType | peer-reviewed | |
heal.fullTextAvailability | true |
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