Please use this identifier to cite or link to this item:
DC FieldValueLanguage
dc.contributor.authorNachar, Rabihen_US
dc.contributor.authorInaty, Elieen_US
dc.contributor.authorBonnin, Patrick Jen_US
dc.contributor.authorAlayli, Yasseren_US
dc.description.abstractThis paper presents a new algorithm for image co-registration using dominant corners located on the images edges under the assumption that the deformation between the successive images is modeled by an affine transformation. This assumption is guaranteed when the time interval between acquired images is small like in a video sequence. Therefore, it is mainly dedicated for motion analysis. The method detects first straight edges of an object contour then classifies their intersection points as contours corners characterized by their angles and adjacent segments lengths. The suppressor starts then to eliminate iteratively the weak corners until reaching a set of dominant ones called "Dominant Corners". These dominant corners are shown to be very repeatable under affinity transformation. A Primitive is constructed by four consecutive dominant corners located on the same contour. The invariant measure that characterizes each primitive is the ratio of areas of two triangles constructed by two triplets selected from these four corners and the corners directions difference. The primitives are formed in the two studied images from an image sequence. All primitives are used to vote for the best affine model that relates the two images. The method used in primitive construction will lead to an important enhancement over existing methods in the voting process in time and accuracy. This method is tested on real images and good results are reported.en_US
dc.format.extent19 p.en_US
dc.subjectMotion analysisen_US
dc.subjectAffine transformationen_US
dc.subjectStraight edgesen_US
dc.subjectDominant cornersen_US
dc.subjectImage co-registrationen_US
dc.titleTowards an automatic image co-registration technique using edge dominant corners primitivesen_US
dc.typeJournal Articleen_US
dc.contributor.affiliationDepartment of Telecommunications and Networking Engineeringen_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.relation.ispartoftextIntegrated computer-aided engineeringen_US
dc.provenance.recordsourceOliben_US Fares Faculty of Technology- of Engineering-
Appears in Collections:Department of Telecommunications and Networking Engineering
Show simple item record

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.