Mathematical Morphology proposes to extract shapes from images as connected components of level sets. These methods prove very suitable for shape recognition and analysis. We present a method to select the perceptually significant (i.e., contrasted) level lines (boundaries of level sets), using the Helmholtz principle as first proposed by Desolneux et al. Contrarily to the classical formulation by Desolneux et al. where level lines must be entirely salient, the proposed method allows to detect partially salient level lines, thus resulting in more robust and more stable detections. We then tackle the problem of combining two gestalts as a measure of saliency and propose a method that reinforces detections. Results in natural images show the good performance of the proposed methods. © 2013 Springer Science+Business Media New York.
Documento: | Artículo |
Título: | On the Role of Contrast and Regularity in Perceptual Boundary Saliency |
Autor: | Tepper, M.; Musé, P.; Almansa, A. |
Filiación: | Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pabellon I, Buenos Aires, 1428, Argentina Department of Electrical and Computer Engineering, Duke University 130 Hudson Hall, Durham, 27708, United States Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, Julio Herrera y Reissig 565, Montevideo, 11300, Uruguay LTCI-Telecom ParisTech, CNRS, 46 rue Barrault, Paris Cedex 13, 75634, France |
Idioma: | Inglés |
Palabras clave: | Edge detection; Helmholtz principle; Level lines; Topographic maps |
Año: | 2013 |
Página de inicio: | 1 |
Página de fin: | 17 |
DOI: | http://dx.doi.org/10.1007/s10851-012-0411-6 |
Título revista: | Journal of Mathematical Imaging and Vision |
Título revista abreviado: | J Math Imaging Vision |
ISSN: | 09249907 |
CODEN: | JMIVE |
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09249907_v_n_p1_Tepper |