Title :
Curvilinear feature detection from curvature estimation
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ
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;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28457