Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jiří Boldyš"'
Publikováno v:
Pattern Recognition. 48:3516-3526
A generalization of the complex moments from 2D to 3D is described. Group representation theory is used to construct 3D rotation invariants from them. The algorithm for automatic generating of the invariants of higher orders is proposed. An algorithm
Publikováno v:
International Journal for Numerical Methods in Biomedical Engineering. 29:988-999
SUMMARY When a patient is examined by positron emission tomography (PET), radiotracer dose amount (activity) has to be determined. However, the rules for activity correction according to patients’ weight used nowadays do not correspond with practic
Autor:
Jiří Boldyš, Jan Flusser
Publikováno v:
Journal of Mathematical Imaging and Vision. 32:227-238
Moment invariants are features calculated on an image, which do not change their values after a transformation of the image. This paper focuses on the so called combined invariants, which obey additional requirement of invariance to image blurring. O
Autor:
Jiří Boldyš, Rudolf Hrach
Publikováno v:
Czechoslovak Journal of Physics. 55:55-64
Descriptive and robust features based on wavelet transform coefficients are proposed for a multiscale thin film image analysis. The features are based on one- and two-dimensional histograms of the wavelet transform coefficients and they can be calcul
Autor:
Rudolf Hrach, Jiří Boldyš
Publikováno v:
Open Physics, Vol 2, Iss 4, Pp 645-659 (2004)
In experimental thin film physics, there is a demand to characterize a growing thin film or the thin film resulting from an experiment. While methods for discontinuous, island-like thin films have been developed, there is a lack of results directly a
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 25:234-246
We present the construction of combined blur and rotation moment invariants in arbitrary number of dimensions. Moment invariants to convolution with an arbitrary centrosymmetric filter are derived first, and then their rotationally invariant forms ar
Publikováno v:
Journal of Mathematical Imaging and Vision. 13:101-113
Processing of multidimensional image data which were acquired by a linear imaging system of unknown point-spread function (PSF) is an important problem whose solution usually requires image restoration based on blind deconvolution (BD). Since BD is a
Autor:
Jiří Boldyš, Jan Flusser
Publikováno v:
Image Analysis and Processing – ICIAP 2013 ISBN: 9783642411830
ICIAP (2)
ICIAP (2)
We derive invariants to convolution with a symmetrical kernel in an arbitrary dimension. They are expressed in the Fourier domain as a ratio of the Fourier transform and of the symmetrical projection of the Fourier transform. In 2D and for dihedral s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ce11e097ff6efc42161211415b85027
https://doi.org/10.1007/978-3-642-41184-7_38
https://doi.org/10.1007/978-3-642-41184-7_38
Publikováno v:
Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications.
In this paper, we introduce a new theory of blur invariants. Blur invariants are image features which preserve their values if the image is convolved with a point-spread function (PSF) of a certain class. We present the invariants to convolution with
Publikováno v:
International journal for numerical methods in biomedical engineering. 29(9)
When a patient is examined by positron emission tomography (PET), radiotracer dose amount (activity) has to be determined. However, the rules for activity correction according to patients' weight used nowadays do not correspond with practical experie