Title :
Attributed skeleton graphs using mathematical morphology
Author :
Di Ruberto, C. ; Dempster, A.G.
Author_Institution :
Dept. of Math., Cagliari Univ., Italy
fDate :
10/25/2001 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010925
