On the gray-scale inverse Hough transform

dc.contributor.author	Κεσίδης, Αναστάσιος Λ.	el
dc.contributor.author	Παπαμάρκος, Νικόλαος Ε.	el
dc.date.accessioned	2015-06-06T16:05:59Z
dc.date.available	2015-06-06T16:05:59Z
dc.date.issued	2015-06-06
dc.identifier.uri	http://hdl.handle.net/11400/15332
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.sciencedirect.com/science/article/pii/S0262885699000670#	el
dc.subject	Algorithm
dc.subject	Image analysis
dc.subject	Αλγόριθμος
dc.subject	Hough transforms
dc.subject	Μετασχηματισμός Hough
dc.subject	Ανάλυση εικόνας
dc.title	On the gray-scale inverse Hough transform	en
heal.type	journalArticle
heal.classification	Computer science
heal.classification	Mathematics
heal.classification	Πληροφορική
heal.classification	Μαθηματικά
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://skos.um.es/unescothes/C02437
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Μαθηματικά
heal.keywordURI	http://zbw.eu/stw/descriptor/29401-2
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh98002813
heal.identifier.secondary	ISSN: 02628856
heal.identifier.secondary	DOI: 10.1016/S0262-8856(99)00067-0
heal.language	en
heal.access	campus
heal.recordProvider	Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Πολιτικών Μηχανικών Τ.Ε. και Μηχανικών Τοπογραφίας και Γεωπληροφορικής Τ.Ε.. Κατεύθυνση Μηχανικών Τοπογραφίας & Γεωπληροφορικής Τ.Ε.	el
heal.publicationDate	2000-05
heal.bibliographicCitation	Kesidis, A. and Papamarkos, N. (2000). On the gray-scale inverse Hough transform. "Image and Vision Computing" 18(8), May 2000. pp. 607-618. Available from: http://www.sciencedirect.com/science/article/pii/S0262885699000670. [Accessed 08/03/2000]	en
heal.abstract	This paper proposes a gray-scale inverse Hough transform (GIHT) algorithm which is combined with a modified gray-scale Hough transform (GHT). Given only the data of the Hough transform (HT) space and the dimensions of the image, the GIHT algorithm reconstructs correctly the original gray-scale image. As a first application, the GIHT is used for line detection and filtering according to conditions associated with the polar parameters, the size and the gray-scale values of the lines. The main advantage of the GIHT is the determination of the image lines exactly as they appear, i.e. pixel by pixel and with the correct gray-scale values. To avoid the quantization effects in the accumulator array of the GHT space, inversion conditions are defined which are associated only with the image size. The GIHT algorithm consists of two phases, which are the collection of gray-scale information stored in the accumulator array and the extraction of the final image according to the filtering conditions. Experimental results confirm the efficiency of the proposed method.	en
heal.publisher	Elsevier Science Ltd,Exeter, United Kingdom	en
heal.journalName	Image and Vision Computing	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true