Abstract
In this paper we introduce the Curve Filter Transform, a powerful tool for enhancing curve-like structures in images. The method extends earlier works on orientation fields and the Orientation Field Transform. The result is a robust method that is less sensitive to noise and produce sharper images than the Orientation Field Transform. We describe the method and demonstrate its performance on several examples where we compare the result to the Canny edge detector and the Orientation Field Transform. The examples include a tomogram from a biological cell and we also demonstrate how the method can be used to enhance handwritten text.
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Sandberg, K. (2010). The Curve Filter Transform – A Robust Method for Curve Enhancement. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17274-8_11
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DOI: https://doi.org/10.1007/978-3-642-17274-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17273-1
Online ISBN: 978-3-642-17274-8
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