Title :
Highly Accurate Orientation Estimation using Steerable Filters
Author :
Kominiarczuk, Jakub K. ; Krajsek, Kai ; Mester, Rudolf
Author_Institution :
Massachusetts Inst. of Technol., Cambridge
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
This paper presents a generalized theoretical framework for designing accurate steerable filters for orientation estimation. We derive the necessary properties of orientation estimation filters in their most general form. Based on our framework, we implemented a highly angular-specific filter. Numerical experiments show the enhanced accuracy of our proposed filter as compared with existing filters.
Keywords :
filtering theory; image processing; high accurate orientation estimation; high angular-specific filter; steerable filter; Equations; Fourier transforms; Image processing; Information filtering; Information filters; Information processing; Nonlinear filters; Shape; Taylor series; Vectors;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379819
