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.
Type
conference paper
Publication date
2003
Publisher
Published in
Proceedings of the 2003 IEEE International Conference on Image Processing (ICIP'03)
Issue
Barcelona, Kingdom of Spain
Start page
433
End page
436
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
September 18, 2015
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