Conference proceeding
Optimal steerable filters for feature detection
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), Vol.3, pp.III-433
2003
DOI: 10.1109/ICIP.2003.1247274
Abstract
We present a new approach for the design of optimal steerable 2-D templates for feature detection. As opposed to classical schemes where the optimal 1-D template is derived and extended to 2-D, we directly obtain the 2-D template. We choose the template from a class of steerable functions based on the analytic optimization of a Canny-like criterion. Our approach gives more orientation selective templates that have simple closed form expression. We illustrate the method with the design of operators for edge and ridge detection and demonstrate their performance improvement in practical applications.
Details
- Title: Subtitle
- Optimal steerable filters for feature detection
- Creators
- M Jacob - Biomedical Imaging Group, Swiss Fed. Inst. of Technol., Lausanne, SwitzerlandM Unser - Biomedical Imaging Group, Swiss Fed. Inst. of Technol., Lausanne, Switzerland
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), Vol.3, pp.III-433
- DOI
- 10.1109/ICIP.2003.1247274
- ISSN
- 1522-4880
- eISSN
- 2381-8549
- Publisher
- IEEE
- Language
- English
- Date published
- 2003
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984071614802771
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