Conference proceeding
Three-dimensional feature detection using optimal steerable filters
IEEE International Conference on Image Processing 2005, Vol.2, pp.II-1158
2005
DOI: 10.1109/ICIP.2005.1530266
Abstract
We present a framework for feature detection in 3-D using steerable filters. These filters can be designed to optimally respond to a particular type of feature by maximizing several Canny-like criteria. The detection process involves the analytical computation of the orientation and corresponding response of the template. A post-processing step consisting of the suppression of non-maximal values followed by thresholding to eliminate insignificant features concludes the detection procedure. We illustrate the approach with the design of feature templates for the detection of surfaces and curves, and demonstrate their efficiency with practical applications.
Details
- Title: Subtitle
- Three-dimensional feature detection using optimal steerable filters
- Creators
- F Aguet - Biomedical Imaging Group, Ecole Polytech. Fed. de Lausanne, SwitzerlandM JacobM Unser
- Resource Type
- Conference proceeding
- Publication Details
- IEEE International Conference on Image Processing 2005, Vol.2, pp.II-1158
- DOI
- 10.1109/ICIP.2005.1530266
- ISSN
- 1522-4880
- eISSN
- 2381-8549
- Publisher
- IEEE
- Language
- English
- Date published
- 2005
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070464202771
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