Title :
Linking image zones to database by using Inverse Voronoi diagrams: A nover Liz-Ivd Method
Author :
Yuksek, Kemel ; Cezayirli, Ahmet
Author_Institution :
Comput. Eng. Dept., Istanbul Kultur Univ., Istanbul, Turkey
Abstract :
This study proposes a novel graphical method (LIZIVD) as an effective solution to link areas on a raster map to a database containing zone characteristics data. The method involves Inverse Voronoi approach which constructs polygonal mesh structure to define each region individually by using Voronoi points. This approach, when combined with Geographic Information Systems (GIS) particularly using satellite images and/or aerial photography, can be used for land exploration by centrally coordinated mobile robots.
Keywords :
computational geometry; geographic information systems; image processing; mobile robots; Geographic Information Systems; LIZIVD method; Linking Image Zones with Inverse Voronoi Diagram; aerial photography; graphical method; mobile robots; raster map; satellite images; zone database; Control systems; Geographic Information Systems; Image databases; Information retrieval; Intelligent control; Joining processes; Mobile robots; Photography; Satellites; Tellurium;
Conference_Titel :
Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-4601-8
Electronic_ISBN :
978-1-4244-4602-5
DOI :
10.1109/CCA.2009.5280970
