Robust region-based line detection from poor quality images of aligned rectangular objects

dc.contributor.author	Βασιλάς, Νικόλαος	el
dc.contributor.author	Τσενόγλου, Θεοχάρης	el
dc.contributor.author	Ghazanfarpour, Djamchid	en
dc.date.accessioned	2015-05-15T14:30:49Z
dc.date.issued	2015-05-15
dc.identifier.uri	http://hdl.handle.net/11400/10449
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.researchgate.net/publication/256446537_Robust_region_based_line_detection_from_poor_quality_images_of_aligned_rectangular_objects	en
dc.subject	ορθογώνια αντικείμενα
dc.subject	κακή ποιότητα εικόνας
dc.subject	μετασχηματισμός
dc.subject	αλγόριθμοι
dc.subject	Rectangular Objects
dc.subject	Poor Quality Images
dc.subject	Transform
dc.subject	algorithms
dc.title	Robust region-based line detection from poor quality images of aligned rectangular objects	en
heal.type	conferenceItem
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classification	Technology
heal.classification	Computer science
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.identifier.secondary	DOI: 10.2316/P.2012.778-052
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2012-06-18
heal.bibliographicCitation	Vassilas, N., Tsenoglou, T. and Ghazanfarpour. D. (2012) Robust region based line detection from poor quality images of aligned rectangular objects. 9th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2012). Crete, Greece.	en
heal.abstract	A novel region-based weighted Hough Transform (HT) method for robust line detection in poor quality images of regular or rectilinear grids of rectangular objects is presented in this work. The proposed method decomposes a given binary image into connected regions, computes a rectangularity score for each region, filters out regions with low scores and, finally, uses a kernel to specify each region’s contribution to the accumulator array based on the following two shape descriptors: a) its rectangularity, and b) the orientation of the major side of its minimum area bounding rectangle. Experiments performed on images of building facades taken under impaired visual conditions or with low accuracy sensors (e.g. thermal images) and comparisons between the proposed method and other HT algorithms, show an improved accuracy of our method in detecting lines and/or linear formations. Finally, in a document analysis application, the proposed method is used with success for skew detection and correction in rotated scanned documents. Robust region based line detection from poor quality images of aligned rectangular objects.	en
heal.fullTextAvailability	false
heal.conferenceName	9th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2012)	en
heal.conferenceItemType	short paper