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Other titles in the Advances in Pattern Recognition series:

Hexagonal Image Processing

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Hexagonal Image Processing Cover

 

Synopses & Reviews

Publisher Comments:

Hexagonal Image Processing 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. Digital image processing is currently dominated by the use of square sampling lattices, however, hexagonal sampling lattices can also be used to define digital images. The strengths offered by hexagonal lattices over square lattices are considerable: • higher packing density, • uniform connectivity of points (pixels) in the lattice, • better angular resolution by virtue of having more nearest neighbours, and • superlative representation of curves. The utility of the HIP framework is demonstrated by implementing several basic image processing techniques (for the spatial and frequency domain) and some applications. The HIP framework serves as a tool for comparing processing of images defined on a square vs hexagonal grid, to determine their relative merits and demerits. The theory and algorithms covered are supplemented by attention to practical details such as accommodating hardware that support only images sampled on a square lattice. Including a Foreword written by Professor Narendra Ahuja, an eminent researcher in the field of Image Processing and Computer Vision, the book's fresh approach to the subject offers insight and workable know-how to both researchers and postgraduates.

Synopsis:

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 densityuniform connectivity of points (pixels) in the latticebetter angular resolution by virtue of having more nearest neighbourssuperlative representation of curvesThe 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.

Table of Contents

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. Derivation of HIP Arithmetic Tables.- C. Bresenham Algorithms on Hexagonal Lattices.- D. Source Code.

Product Details

ISBN:
9781852339142
Author:
Middleton, Lee
Publisher:
Springer
Author:
Sivaswamy, Jayanthi
Author:
Middleton, L.
Subject:
Computer Graphics - General
Subject:
Digital techniques
Subject:
Imaging Systems
Subject:
Image processing
Subject:
Computer Vision
Subject:
Computer Graphics - Image Processing
Subject:
Hexagonal Image Sampling
Subject:
Hexagonal Image Processing
Subject:
Hexagonal Image Representation
Subject:
Image Processing and Computer Vision
Subject:
Computer Imaging, Vision, Pattern Recognition and Graphics
Subject:
Media Design
Subject:
Science Reference-Technology
Copyright:
Edition Number:
1
Edition Description:
2005
Series:
Advances in Computer Vision and Pattern Recognition
Publication Date:
July 2005
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
268
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Graphics » General
Computers and Internet » Graphics » Image Processing
Health and Self-Help » Health and Medicine » Medical Specialties
Reference » Science Reference » Technology
Science and Mathematics » Chemistry » General

Hexagonal Image Processing New Hardcover
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Product details 268 pages Springer - English 9781852339142 Reviews:
"Synopsis" by , 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 densityuniform connectivity of points (pixels) in the latticebetter angular resolution by virtue of having more nearest neighbourssuperlative representation of curvesThe 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.
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