Carte Hexagonal Image Processing Jayanthi Sivaswamy

Hexagonal Image Processing

A Practical Approach

Limbă: engleză
Legare: Carte broșată
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
553.26 lei
The sampling lattice used to digitize continuous image data is a signi?cant determinant of the quali...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2014
Pagini
254
EAN
9781447158844
ISBN
9781447158844
Enbook ID
09164237
Greutate
421
Dimensiuni
155 x 235 x 15

Descriere completă

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.

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