Overview -- Background -- MRF Framework For Image Interpretation -- Bayesian Net Approach to Image Interpretation -- Joint Segmentation and Image Interpretation -- Conclusions.

    Bayesian Approach to Image Interpretation will interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas. For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation will be beneficial. For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues will be valuable. New ideas introduced in the book include: New approach to image interpretation using synergism between the segmentation and the interpretation modules. A new segmentation algorithm based on multiresolution analysis. Novel use of the Bayesian networks (causal networks) for image interpretation. Emphasis on making the interpretation approach less dependent on the knowledge base and hence more reliable by modeling the knowledge base in a probabilistic framework. Useful in both the academic and industrial research worlds, Bayesian Approach to Image Interpretation may also be used as a textbook for a semester course in computer vision or pattern recognition.


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    Titel :

    Bayesian Approach to Image Interpretation


    Beteiligte:


    Ausgabe :

    1st ed. 2000.


    Erscheinungsdatum :

    2000


    Format / Umfang :

    1 Online-Ressource(XV, 127 p.)


    Anmerkungen:

    Campusweiter Zugriff (Universität Hannover). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots.
    Includes bibliographical references (p. [115]-122) and index




    Medientyp :

    Buch


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :


    Bayesian Net Approach to Image Interpretation

    Kopparapu, Sunil K. / Desai, Uday B. | Springer Verlag | 2002


    Direct Bayesian Interpretation of Visual Motion

    Laganiere, R. / Mitiche, A. / IEEE et al. | British Library Conference Proceedings | 1994


    Knowledge-based approach to image interpretation

    Puliti, P. / Tascini, G. | British Library Online Contents | 1993



    A MCMC Approach for Bayesian Super-Resolution Image Reconstruction

    Tian, J. / Ma, K.-K. | British Library Conference Proceedings | 2005