Hexagonal Image Processing

A Practical Approach

Lee Middleton, Jayanthi Sivaswamy - Collection Advances in Computer Vision and Pattern Recognition

254 pages, parution le 31/08/2005

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Résumé

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. A CD-ROM provides code enabling the reader to develop and test algorithms for processing hexagonal images.

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

Sommaire

Introduction
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
A: Mathematical derivations
B: Derivations of HIP arithmetic tables
C: Bresenham algorithms on hexagonal lattices
D: Source code
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Lee Middleton, Jayanthi Sivaswamy
Collection	Advances in Computer Vision and Pattern Recognition
Parution	31/08/2005
Nb. de pages	254
Format	16 x 24
Couverture	Relié
Poids	523g
Intérieur	Noir et Blanc
EAN13	9781852339142
ISBN13	978-1-85233-914-2