Please use this identifier to cite or link to this item:
Title: Multiple representation of complex intensity changes for image segmentation
Authors: Medina-Rodríguez, Pedro 
Fernández-García, Enrique 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 1997
Project: Integración de Técnicas Visuales de Alto Nivel en Manipulación Robótica
Medida Visual Automática del Volumen Real de Madera en Recepción en la Fábrica de Celulosa
Journal: Lecture Notes in Computer Science 
Conference: 6th International Workshop on Computer Aided Systems Theory, EUROCAST 1997 
Abstract: In this paper we present a method for finding a multiple representation of complex intensity changes that is useful in image segmentation. In computer vision, it is often required to separate objects from background in images taken under conditions of poor and non uniform illumination. In these situations, it is well-known that many of the intensity changes do not correspond to the object’s boundaries but to other factors (mainly shadows and brightness variation) that complicate the segmentation process. With this in mind, we propose a segmentation process that proceeds in stages where one of the most important is the local description of the intensity changes giving rise to a multiple representation where many clues are accentuated. Other higher level stages act to select, manipulate, and combine clues in agreement with certain strategies (decision rules) which can be defined based on previous knowledge or heuristic information in order to segment the entities of interest.
ISBN: 978-3-540-63811-7
ISSN: 0302-9743
DOI: 10.1007/BFb0025068
Source: Pichler F., Moreno-Díaz R. (eds) Computer Aided Systems Theory — EUROCAST 1997. Lecture Notes in Computer Science, vol 1333, p 473-485. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
Adobe PDF (1,07 MB)
Show full item record

Google ScholarTM




Export metadata

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