Title :
Line orientation operator
Author :
Le Pouliquen, Franck ; Germain, Christian ; Baylou, Pierre
Author_Institution :
Dept. of Equipe Signal & Image, ENSEIRB, Talence, France
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958217