Optimization is a key component of image registration. Due to the non-convexity and high computation cost of the objective function, a common tactic is to set an initial guess and then use multi-resolution or local optimization methods to find a local optimum of the objective function. For almost all local optimization methods, the initial location in the search space plays a critical role in the accuracy of the registration. Initial guesses are often obtained through data-specific methods. The paper offers a new hybrid optimization method assisted by a density-based clustering algorithm. The new method is less data-specific and more suitable for semi-automatic or automatic image registration. Global optimization does not guarantee timely convergence. A genetic algorithm is a component of our hybrid method; however, our method usually converges within a reasonable time. This new method has been applied to registering high resolution brain images.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A cluster-assisted global optimization method for high resolution medical image registration


    Beteiligte:
    Rongkai Zhao, (Autor:in) / Belford, G.G. (Autor:in) / Gabriel, M. (Autor:in)


    Erscheinungsdatum :

    2004-01-01


    Format / Umfang :

    332250 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Selective Corner Matching for High-Resolution Image Registration

    Alkaabi, S. / Deravi, F. / Visual Information Engineering Network (Institution of Engineering and Technology) | British Library Conference Proceedings | 2006



    Image Registration Using Single Cluster PHD Methods

    Campbell, Mark | British Library Conference Proceedings | 2017


    Global cost optimization in image registration using simulated annealing [3457-12]

    Farsaii, B. / Sablauer, A. / SPIE | British Library Conference Proceedings | 1998