DocumentCode
3156360
Title
Reduction of resolution for binary images by an octal grid graph representation model
Author
Shindo, Y. ; Kikuchi, Takashi ; Anada, Koichi ; Koka, Shinji ; Yaku, Takeo
Author_Institution
Dept. Comput. Sci. & Syst. Anal., Nihon Univ., Tokyo, Japan
fYear
2013
fDate
16-20 June 2013
Firstpage
417
Lastpage
422
Abstract
We deal with a data structure which is suitable for expression of the binary images. In general, binary images are expressed in raster data or rectangular dissections. In this paper, we describe that it is possible to reduce effectively the number of nodes in raster data represented by “octgrid” which is a type of octal grid graphs to handle heterogeneous rectangular dissections. Precisely, we propose algorithms to reduce the resolution of binary images represented by “octgrid”. Furthermore, we compare by examples our method with the Hilbert scanning, and show that our method reduces the rectangular number by less than 50% than the Hilbert scanning does, in several examples.
Keywords
computational geometry; computer graphics; data structures; graph theory; image representation; image resolution; Hilbert scanning; binary images; computer graphics; data structure; heterogeneous rectangular dissection handling; octal grid graph representation model; raster data; resolution reduction; Computer science; Data structures; Educational institutions; Image coding; Image color analysis; Image resolution; Three-dimensional displays; Computer graphics; Data structures; Octgrids; Raster data with heterogeneous parts; Rectangular dissections;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location
Niigata
Type
conf
DOI
10.1109/ICIS.2013.6607876
Filename
6607876
Link To Document