A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition


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    Title :

    Analysis of Variance in Statistical Image Processing



    Edition :

    Online-Ausg.


    Publication date :

    1997


    Size :

    Online-Ressource (1 online resource (228 p.))


    Remarks:

    digital, PDF file(s).
    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
    Title from publisher's bibliographic system (viewed on 05 Oct 2015)




    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :


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