Zu diesem lizenzpflichtigen Artikel gibt es eine Open Access Version, die kostenlos und ohne Lizenzbeschränkung gelesen werden kann. Die Open Access Version kann inhaltlich von der lizenzpflichtigen Version abweichen.
Preisinformation
Bitte wählen Sie ihr Lieferland und ihre Kundengruppe
This paper presents a new method for computing the Feature-adapted Radon and Beamlet transforms (S. Berlemont et al., 2007) in a fast and accurate way. These two transforms can be used for detecting features running along lines or piecewise constant curves. The main contribution of this paper is to unify the Fast Slant Stack method, introduced in (A. Averbuch et al., 2001), with linear filtering technique in order to define what we call the Feature-adapted Fast Slant Stack. If the desired feature detector is chosen to belong to the class of steerable filters, our method can be achieved in O(N log(N)), where N=n2 is the number of pixels. This new method leads to an efficient implementation of both Feature-adapted Radon and Beamlet transforms, that outperforms our previous works (S. Berlemont et al., 2007) both in terms of accuracy and speed. Our method has been developed in the context of biological imaging to detect DNA filaments in fluorescent microscopy.