DocumentCode :
2401244
Title :
A hierarchical description of digital grayscale images based on image dipoles
Author :
Chinveeraphan, Supoj ; Takamatsu, Ryo ; Sato, Makoto
Author_Institution :
Precision & Intelligence Lab., Tokyo Inst. of Technol., Yokohama, Japan
Volume :
2
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
246
Abstract :
Deals with a hierarchical description of digital grayscale images based on non-local structural features, called image dipoles. An image dipole is defined to be a region whose lines of slope emanate from the same maximum, and reach the same minimum. Incorporating an image dipole based representation of an image into a scale-space filtering, we propose in this paper a hierarchical image dipole description of the image. The proposed description consists of image dipole networks of some scales, and linking of image dipoles across the scales such that the description contains all local transformations of the image dipole network in the scale-space
Keywords :
filtering theory; image representation; image segmentation; digital grayscale images; hierarchical description; image dipole; nonlocal structural features; scale-space filtering; Digital images; Eigenvalues and eigenfunctions; Filtering; Gray-scale; Image analysis; Image resolution; Image segmentation; Intelligent structures; Kernel; Laboratories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546826
Filename :
546826
Link To Document :
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