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Hexagonal Image Processing: A Practical Approach

Thomas Williams

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ISBN 10: 1852339144 / ISBN 13: 9781852339142
Published by Springer
New Condition New Hardcover
From BuySomeBooks (Las Vegas, NV, U.S.A.) Quantity Available: 20
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Hardcover. 920 pages. Dimensions: 10.2in. x 8.3in. x 1.6in.Best-selling text in the market. Introduction to Management Science, 9e blends problem formulation, managerial interpretation, and math techniques with an emphasis on problem solving. The problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application Extensive linear programming coverage includes problem formulation, computer solution, and practical application. Text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line models, simulation, and decision analysis. Large selection of problems includes self-test problems with complete solutions and 20 case problems. Excel spreadsheet appendices are included in this edition. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9781852339142

About this title:

Synopsis:

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.

Product Description:

This book provides an introduction to the processing of hexagonally sampled images, includes a survey of the work done in the field, and 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 and frequency domain) and some applications. Theory and algorithms are covered as well as details such as accommodating hardware that support only images sampled on a square lattice.

This fresh approach offers insight and workable know-how to both researchers and postgraduates.

"About this title" may belong to another edition of this title.

Bibliographic Details

Title: Hexagonal Image Processing: A Practical ...

Publisher: Springer

Binding: Hardcover

Book Condition: New

Book Type: Hardcover

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