Image edge detection based on a spatial autoregressive bootstrap approach

Gustavo Ulloa, HÉCTOR GABRIEL ALLENDE CID, Héctor Allende

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

In this paper a new algorithm to perform edge detection based on a bootstrap approach is presented. This approach uses the estimated spatial conditional distribution of the pixels conditioned by their neighbors. The proposed algorithm approximates the original image by adjusting local 2D autoregressive models to different blocks of the image. The residuals are used in order to generate resampled images by using bootstrap techniques. The proposed algorithm applied to synthetic and real images generates as a result, a binary image, in which the detected edges can be observed.

Idioma originalInglés
Título de la publicación alojadaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditoresAlvaro Pardo, Josef Kittler
EditorialSpringer Verlag
Páginas408-415
Número de páginas8
ISBN (versión impresa)9783319257501
DOI
EstadoPublicada - 2015
Publicado de forma externa
Evento20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015 - Montevideo, Uruguay
Duración: 9 nov 201512 nov 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9423
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015
País/TerritorioUruguay
CiudadMontevideo
Período9/11/1512/11/15

Huella

Profundice en los temas de investigación de 'Image edge detection based on a spatial autoregressive bootstrap approach'. En conjunto forman una huella única.

Citar esto