Improving the Canny edge detector using automatic programming: Improving the filter
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- @InProceedings{Magnusson:2016:ICIVC,
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author = "Lars Vidar Magnusson and Roland Olsson",
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booktitle = "2016 International Conference on Image, Vision and
Computing (ICIVC)",
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title = "Improving the Canny edge detector using automatic
programming: Improving the filter",
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year = "2016",
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pages = "36--40",
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abstract = "We have used automatic programming, a machine learning
technique related to inductive logic programming and
genetic programming, to make the Canny edge detector
better at identifying contours in natural images. We
present an improved version of the filter used in the
first stage of the Canny algorithm. We show that the
mean performance of the Canny algorithm with the
improved filter on a popular test set of natural images
has been improved by 1.4percent. Our result shows that
the heuristic design provides a statistically
significant increase in performance-without adding
extra processing steps or adding additional
information. This suggests that the filter should be
used as a standard part of image analysis platforms.
The inferred heuristic filter exhibits an ability to
retain detail without sacrificing noise reduction. This
is further evidence that automatic programming is well
suited for generating heuristics for image analysis
problems.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/ICIVC.2016.7571270",
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month = aug,
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notes = "Also known as \cite{7571270}",
- }
Genetic Programming entries for
Lars Vidar Magnusson
J Roland Olsson
Citations