DocumentCode :
1808367
Title :
Multi-scale curvatures for contour feature extraction
Author :
Deguchi, Koichiro
Author_Institution :
Fac. of Eng., Tokyo Univ., Japan
fYear :
1988
fDate :
14-17 Nov 1988
Firstpage :
1113
Abstract :
A method is described to extract features of contour of a figure based on its curvature. For a digital figure, curvatures are approximated by using differences of contour tangential angles at two points apart from each other with an appropriate distance scale. In this method, a set of curvatures with various scales is calculated, and from the curvature changes with respect to the multiple scales, the features of the original contour, such as the locations and angles of vertices, are extracted. The view-field resolutions for the analysis of features of figures are determined automatically, for each figure and its parts
Keywords :
pattern recognition; contour feature extraction; digital figure; multi-scale curvatures; pattern recognition; view-field resolutions; Digital images; Feature extraction; Large-scale systems; Noise generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
Type :
conf
DOI :
10.1109/ICPR.1988.28456
Filename :
28456
Link To Document :
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