Non-ring Filters for Robust Detection of Linear Structures
2010 (English)In: Proceedings of the 20th International Conference on Pattern Recognition, Los Alamitos, CA, USA: IEEE Computer Society, 2010, 233-236 p.Conference paper (Refereed)
Many applications in image analysis include the problem of linear structure detection, e.g. segmentation of blood vessels in medical images, roads in satellite images, etc. A simple and efficient solution is to apply linear filters tuned to the structures of interest and extract line and edge positions from the filter output. However, if the filter is not carefully designed, artifacts such as ringing can distort the results and hinder a robust detection. In this paper, we study the ringing effects using a common Gabor filter for linear structure detection, and suggest a method for generating non-ring filters in 2D and 3D. The benefits of the non-ring design are motivated by results on both synthetic and natural images.
Place, publisher, year, edition, pages
Los Alamitos, CA, USA: IEEE Computer Society, 2010. 233-236 p.
, International Conference on Pattern Recognition, ISSN 1051-4651
ringing filters, Gabor, non-ring filters, edge detection, filter design
Engineering and Technology Computer and Information Science Computer Vision and Robotics (Autonomous Systems) Signal Processing
IdentifiersURN: urn:nbn:se:liu:diva-58850DOI: 10.1109/ICPR.2010.66ISBN: 978-1-4244-7542-1OAI: oai:DiVA.org:liu-58850DiVA: diva2:346058
20th International Conference on Pattern Recognition, Istanbul, Turkey, 23-26 August 2010
©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Gunnar Läthén, Olivier Cros, Hans Knutsson and Magnus Borga, Non-ring Filters for Robust Detection of Linear Structures, 2010, Proceedings of the 20th International Conference on Pattern Recognition, 233-236. http://dx.doi.org/10.1109/ICPR.2010.662010-08-302010-08-302014-10-08Bibliographically approved