DocumentCode :
1675469
Title :
Line orientation operator
Author :
Le Pouliquen, Franck ; Germain, Christian ; Baylou, Pierre
Author_Institution :
Dept. of Equipe Signal & Image, ENSEIRB, Talence, France
Volume :
3
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
708
Abstract :
This paper proposes new estimators for the local orientation of elongated structures. Classical methods derive local orientation from the argument of gradient estimator. As they were originally designed for edge detection, such operators can lead to high bias in orientation estimation. We introduce the line orientation operator which applies an oriented model made with straight parallel lines on the local neighborhood. We present results either on synthetic and real images. We compare this new operator with other classical orientation operators
Keywords :
computer vision; mathematical operators; parameter estimation; elongated structures; line orientation operator; local orientation estimation; straight parallel lines; vision task; Filter bank; Fingerprint recognition; Geometry; Image edge detection; Image matching; Kernel; Position measurement; Principal component analysis; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.958217
Filename :
958217
Link To Document :
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