01354nas a2200181 4500008004100000020002200041245008700063210006900150260004500219300001400264520065900278100002000937700001800957700002400975700002600999700002001025856012701045 2009 eng d a978-3-642-02229-600aAn evolutionary approach for object-based image reconstruction using learnt priors0 aevolutionary approach for objectbased image reconstruction using aOslo, NorwaybSpringer-VerlagcJune 2009 a520 - 5293 a
In this paper we present a novel algorithm for reconstructingbinary images containing objects which can be described by some parameters. In particular, we investigate the problem of reconstructing binary images representing disks from four projections. We develop a genetic algorithm for this and similar problems. We also discuss how prior information on the number of disks can be incorporated into the reconstruction in order to obtain more accurate images. In addition, we present a method to exploit such kind of knowledge from the projections themselves. Experiments on artificial data are also conducted. © 2009 Springer Berlin Heidelberg.
1 aBalázs, Péter1 aGara, Mihály1 aSalberg, Arnt-Borre1 aHardeberg, Jon, Yngve1 aJenssen, Robert uhttps://www.inf.u-szeged.hu/publication/an-evolutionary-approach-for-object-based-image-reconstruction-using-learnt-priors01494nas a2200205 4500008004100000245005100041210005100092260004500143300001400188520082800202100001901030700001901049700002101068700002101089700001701110700002401127700002601151700002001177856009101197 2009 eng d00aRecovering affine deformations of fuzzy shapes0 aRecovering affine deformations of fuzzy shapes aOslo, NorwaybSpringer-VerlagcJune 2009 a735 - 7443 aFuzzy sets and fuzzy techniques are attracting increasing attention nowadays in the field of image processing and analysis. It has been shown that the information preserved by using fuzzy representation based on area coverage may be successfully utilized to improve precision and accuracy of several shape descriptors; geometric moments of a shape are among them. We propose to extend an existing binary shape matching method to take advantage of fuzzy object representation. The result of a synthetic test show that fuzzy representation yields smaller registration errors in average. A segmentation method is also presented to generate fuzzy segmentations of real images. The applicability of the proposed methods is demonstrated on real X-ray images of hip replacement implants. © 2009 Springer Berlin Heidelberg.
1 aTanacs, Attila1 aDomokos, Csaba1 aSladoje, Nataša1 aLindblad, Joakim1 aKato, Zoltan1 aSalberg, Arnt-Borre1 aHardeberg, Jon, Yngve1 aJenssen, Robert uhttps://www.inf.u-szeged.hu/publication/recovering-affine-deformations-of-fuzzy-shapes