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