DocumentCode
1808581
Title
Curvilinear feature detection from curvature estimation
Author
O´Gorman, L.
Author_Institution
AT&T Bell Lab., Murray Hill, NJ
fYear
1988
fDate
14-17 Nov 1988
Firstpage
1116
Abstract
The DOS+ method, a particular case of the difference of slopes (DOS) approach, is shown to be effective for estimating curvature in terms of signal detectability. Relationships are established between the DOS+ parameters and feature parameters to distinguish corner and curve features and to accurately determine the locations of corners, transitions between straight lines and curves, and curve centers. Examples show the results of this method applied to curvilinear features and diagrams
Keywords
pattern recognition; DOS+ method; curvature estimation; curvilinear feature detection; difference of slopes approach; pattern recognition; Computer vision; Displays; Image analysis; Image converters; Image sampling; Image segmentation; Length measurement; Object recognition; Signal detection; Smoothing methods;
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.1988.28457
Filename
28457
Link To Document