Lee Middleton - Böcker
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2 produkter
1 101 kr
Skickas inom 10-15 vardagar
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.
1 260 kr
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This book provides an introduction to the processing of hexagonally sampled images, includes a survey of the work done in the field, & presents a novel framework for hexagonal image processing (HIP) based on hierarchical aggregates. The strengths offered by hexagonal lattices over square lattices to define digital images are considerable:- higher packing density- uniform connectivity of points (pixels) in the lattice- better angular resolution by virtue of having more nearest neighbours- superlative representation of curves. The utility of the HIP framework is shown by implementing several basic image processing techniques (for the spatial & frequency domain) & some applications. Theory & algorithms are covered as well as details such as accommodating hardware that support only images sampled on a square lattice. A CD provides code enabling the reader to develop & test algorithms for processing hexagonal images. This fresh approach offers insight and workable know-how to both researchers & postgraduates.