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Bayesian Computational Methods For Spatial Analysis Of Images

Journal Article


Abstract


  • This thesis introduces a novel representation for prior information in a spatial model

    and develops scalable algorithms for fitting this model to large imaging datasets.

    These methods are employed for image-guided radiation therapy and satellite-based

    classification of land use and water quality. This study has utilised a pre-computation

    step to achieve a substantial improvement in the elapsed runtime for model fitting.

    This makes it much more feasible to apply these models to real-world problems, and

    enables full Bayesian inference for images with a million or more pixels.

Publication Date


  • 2016

Citation


  • Moores, M. T. (2016). Bayesian Computational Methods For Spatial Analysis Of Images. Bulletin of the Australian Mathematical Society, 93 (2), 345-346.

Scopus Eid


  • 2-s2.0-84960813800

Number Of Pages


  • 1

Start Page


  • 345

End Page


  • 346

Volume


  • 93

Issue


  • 2

Place Of Publication


  • United Kingdom

Abstract


  • This thesis introduces a novel representation for prior information in a spatial model

    and develops scalable algorithms for fitting this model to large imaging datasets.

    These methods are employed for image-guided radiation therapy and satellite-based

    classification of land use and water quality. This study has utilised a pre-computation

    step to achieve a substantial improvement in the elapsed runtime for model fitting.

    This makes it much more feasible to apply these models to real-world problems, and

    enables full Bayesian inference for images with a million or more pixels.

Publication Date


  • 2016

Citation


  • Moores, M. T. (2016). Bayesian Computational Methods For Spatial Analysis Of Images. Bulletin of the Australian Mathematical Society, 93 (2), 345-346.

Scopus Eid


  • 2-s2.0-84960813800

Number Of Pages


  • 1

Start Page


  • 345

End Page


  • 346

Volume


  • 93

Issue


  • 2

Place Of Publication


  • United Kingdom