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Image Data Structures and Converting Algorithms: The Research on Raster, Vector, and Quadtree structures and Converting Algorithms between them - Couverture souple

Xiao, Ke

 
9783843394734: Image Data Structures and Converting Algorithms: The Research on Raster, Vector, and Quadtree structures and Converting Algorithms between them
Couverture souple
ISBN 10 : 3843394733 ISBN 13 : 9783843394734
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Researches on data structures are always combined with algorithms. The format of data determines the ways of obtaining and processing the data. In image processing area, there are three image data structures, raster, vector, and quadtree. Each has their own advantages and disadvantages, and is suitable for different requirements of operations and processes. A sophisticated image processing system or geographic information system should meet different needs by using different features of different structures so that the system can improve the efficiency of time and space when storing, processing, retrieving, and outputting image data. This needs converting algorithms between the data structures. Previous researches have been narrowed in theories of traditional data structures or algorithms. The research involved in this book covers the most commonly used image data structures, especially the 2-Dimensional Run Encoding Quadtrees which are the latest development of quadtree structure, and converting algorithms between the 2DRE quadtrees and other structures and describes the applications of the structures and algorithms in GIS.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Researches on data structures are always combined with algorithms. The format of data determines the ways of obtaining and processing the data. In image processing area, there are three image data structures, raster, vector, and quadtree. Each has their own advantages and disadvantages, and is suitable for different requirements of operations and processes. A sophisticated image processing system or geographic information system should meet different needs by using different features of different structures so that the system can improve the efficiency of time and space when storing, processing, retrieving, and outputting image data. This needs converting algorithms between the data structures. Previous researches have been narrowed in theories of traditional data structures or algorithms. The research involved in this book covers the most commonly used image data structures, especially the 2-Dimensional Run Encoding Quadtrees which are the latest development of quadtree structure, and converting algorithms between the 2DRE quadtrees and other structures and describes the applications of the structures and algorithms in GIS.

Biographie de l'auteur

Dr. Ke Xiao is from China. He was self-taught for middle and high school. He got B.E. in Computer Science at University of Science and Technology, Harbin; M.Sc in Mapping and Remote Sensing at Chinese Academy of Sciences; and PhD in Remote Sensing and GIS in 2003 at Louisiana State University. Now he is faculty in LSU Health Sciences Center, USA.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3843394733
ISBN 13 
9783843394734
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
Personne responsable
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