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 |
S |
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 |
|