Paper Info
Title
Description of digital images by region-based contour trees
Abstract
In analyzing the morphological information of objects in images, isosurfaces play important and application-independent roles. For continuous scalar field, Contour Trees have been used as a tool to select and visualize isosurfaces. However, the tree structure of contour trees is based on the critical points which does not exist in digital images. In this paper, we propose a tree structure of isosurfaces in digital images named Region-based Contour Tree. The proposed method describes a finite number of isosurfaces in digital images completely, without redundancy.
Year
DOI
Venue
2005
10.1007/11559573_68
ICIAR
Keywords
Field
DocType
continuous scalar field,finite number,region-based contour tree,tree structure,digital image,application-independent role,contour tree,morphological information,contour trees,critical point,scalar field
Computer vision,Finite set,Pattern recognition,Computer science,Contour line,Image segmentation,Digital image,Redundancy (engineering),Tree structure,Artificial intelligence,Contour tree,Scalar field
Conference
Volume
ISSN
ISBN
3656
0302-9743
3-540-29069-9
Citations 
PageRank 
References 
2
0.37
8
Authors
2
Name
Order
Citations
PageRank
Shinobu Mizuta1144.72
Tetsuya Matsuda2268.88