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Left-invariant evolutions of wavelet transforms on the Similitude Group
[article]
2014
arXiv
pre-print
Enhancement of multiple-scale elongated structures in noisy image data is relevant for many biomedical applications but commonly used PDE-based enhancement techniques often fail at crossings in an image. To get an overview of how an image is composed of local multiple-scale elongated structures we construct a multiple scale orientation score, which is a continuous wavelet transform on the similitude group, SIM(2). Our unitary transform maps the space of images onto a reproducing kernel space
arXiv:1306.1800v3
fatcat:wsubommf45gjvp4xmlwq67hzem