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Hexagonal Image Processing A Practical Approach 2005 Edition at Meripustak

Hexagonal Image Processing A Practical Approach 2005 Edition by Lee Middleton Jayanthi Sivaswamy , Springer

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  • General Information  
    Author(s)Lee Middleton Jayanthi Sivaswamy
    PublisherSpringer
    ISBN9781852339142
    Pages254
    BindingMixed media product
    LanguageEnglish
    Publish YearAugust 2005

    Description

    Springer Hexagonal Image Processing A Practical Approach 2005 Edition by Lee Middleton Jayanthi Sivaswamy

    The sampling lattice used to digitize continuous image data is a signi?cant determinant of the quality of the resulting digital image and therefore of the e?cacy of its processing. The nature of sampling lattices is intimately tied to the tessellations of the underlying continuous image plane. To allow uniform sampling of arbitrary size images the lattice needs to correspond to a regular - spatially repeatable - tessellation. Although drawings and paintings from many ancient civilisations made ample use of regular triangular square and hexagonal tessellations and Euler later proved that these three are indeed the only three regular planar tessellations possible sampling along only the square lattice has found use in forming digital images. The reasons for these are varied including extensibility to higher dimensions but the literature on the rami?cations of this commitment to the square lattice for the dominant case of planar data is relatively limited. There seems to be neither a book nor a survey paper on the subject of alternatives. This book on hexagonal image processing is therefore quite appropriate. Lee Middleton and Jayanthi Sivaswamy well motivate the need for a c- certedstudyofhexagonallatticeandimageprocessingintermsoftheirknown uses in biological systems as well as computational and other theoretical and practicaladvantagesthataccruefromthisapproach. Theypresentthestateof the art of hexagonal image processing and a comparative study of processing images sampled using hexagonal and square grids. Table of contents : Current approaches to vision.- The Proposed HIP Framework.- Image processing within the HIP framework.- Applications of the HIP framework.- Practical aspects of hexagonal image processing.- Processing images on square and hexagonal grids - a comparison.- Conclusion.



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