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Non-linear fourth-order image interpolation for subpixel edge detection and localization

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Non-linear fourth-order image interpolation for subpixel edge detection and localization

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dc.contributor.author Hermosilla, T. es_ES
dc.contributor.author Bermejo, E. es_ES
dc.contributor.author Balaguer Beser, Ángel Antonio es_ES
dc.contributor.author Ruiz Fernández, Luis Ángel es_ES
dc.date.accessioned 2016-02-18T16:03:32Z
dc.date.available 2016-02-18T16:03:32Z
dc.date.issued 2008-09-01
dc.identifier.issn 0262-8856
dc.identifier.uri http://hdl.handle.net/10251/60995
dc.description.abstract [EN] A fourth-order non-linear interpolation procedure based on the ENO (Essentially Non-Oscillatory) methodology is presented and evaluated, with the purpose of increasing the geometric accuracy of edge detection in digital images. Two possible cases are considered one that considers that each pixel of the image represents a point value, the other that the pixel is an average value of a function. After image interpolation to obtain a finer grid of pixels, the Canny edge detection algorithm is applied, with the objective of improving the localization and geometry of the edges at a subpixel level. The results are compared with other schemes based on fourth order two-dimensional interpolation methods, such as a centered scheme based on a cubic convolution, a fourth order non-centered lineal scheme and a centered cubic convolution based on local gradient features. The evaluation is performed using visual and analytical techniques applied over aerial and satellite images, analyzing the positional errors of the detected edges, as well as the errors due to changes in scale and orientation. In addition to the subpixel edge detection, the quality of the interpolated images is tested. We conclude that the proposed methodology based on ENO interpolation improves the detection of edges in images as compared to other fourth-order methods es_ES
dc.description.sponsorship This study has been supported by the Spanish Ministry of Education and Science and the FEDER in the framework of the Projects CTM2006-11767/TECNO and CLG2006-11242-C03/BTE.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MEC/CTM2006-11767/TECNO es_ES
dc.relation MEC/CLG2006-11242-C03/BTE
dc.relation.ispartof Image and Vision Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Image processing es_ES
dc.subject Subpixel edge detection es_ES
dc.subject Non-linear interpolation es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Non-linear fourth-order image interpolation for subpixel edge detection and localization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.imavis.2008.02.012
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Hermosilla, T.; Bermejo, E.; Balaguer Beser, ÁA.; Ruiz Fernández, LÁ. (2008). Non-linear fourth-order image interpolation for subpixel edge detection and localization. Image and Vision Computing. 26(9):1240-1248. doi:10.1016/j.imavis.2008.02.012 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.imavis.2008.02.012 es_ES
dc.description.upvformatpinicio 1240 es_ES
dc.description.upvformatpfin 1248 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 9 es_ES
dc.relation.senia 35210 es_ES
dc.contributor.funder Ministerio de Educación y Ciencia


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