DocumentCode
1548633
Title
Attributed skeleton graphs using mathematical morphology
Author
Di Ruberto, C. ; Dempster, A.G.
Author_Institution
Dept. of Math., Cagliari Univ., Italy
Volume
37
Issue
22
fYear
2001
fDate
10/25/2001 12:00:00 AM
Firstpage
1325
Lastpage
1327
Abstract
The aim of the work described is to use the potential strength of the skeleton of discrete objects in computer vision and pattern recognition where features of objects are needed for classification. Algorithms are introduced for detecting skeleton characteristic points (end points, junction points and curve points) and creating an attributed graph, that can then be used as an input to graph matching algorithms, based on a morphological approach
Keywords
computer vision; feature extraction; graph theory; mathematical morphology; pattern classification; pattern matching; attributed skeleton graphs; computer vision; curve points; end points; graph matching algorithms; junction points; mathematical morphology; object features classification; pattern recognition; skeleton characteristic points;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20010925
Filename
964273
Link To Document