English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30563
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


Graph-based representations and techniques for image processing and image analysis

AuthorsSanfeliu, Alberto ; Alquézar Mancho, Renato ; Andrade-Cetto, Juan ; Climent Vilaro, Juan; Serratosa, Francesc; Vergés Llahí, Jaume
KeywordsStructural pattern recognition
Graph-based representations
Object recognition
Color image segmentation
Issue Date2002
CitationPattern Recognition 35(3): 639-650 (2002)
AbstractIn this paper we will discuss the use of some graph-based representations and techniques for image processing and analysis. Instead of making an extensive review of the graph techniques in this field, we will explain how we are using these techniques in an active vision system for an autonomous mobile robot developed in the Institut de Robòtica i Informàtica Industrial within the project “Active Vision System with Automatic Learning Capacity for Industrial Applications (CICYT TAP98-0473)”. Specifically we will discuss the use of graph-based representations and techniques for image segmentation, image perceptual grouping and object recognition. We first present a generalisation of a graph partitioning greedy algorithm for colour image segmentation. Next we describe a novel fusion of colour-based segmentation and depth from stereo that yields a graph representing every object in the scene. Finally we describe a new representation of a set of attributed graphs (AGs), denominated function-described graphs (FDGs), a distance measure for matching AGs with FDGs and some applications for robot vision.
Publisher version (URL)http://dx.doi.org/10.1016/S0031-3203(01)00066-8
Appears in Collections:(IRII) Artículos
Files in This Item:
File Description SizeFormat 
Graph-based representations.pdf640,34 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.