๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Hexagonal Image Processing: A Practical Approach

โœ Scribed by Lee Middleton PhD, Jayanthi Sivaswamy PhD (auth.)


Publisher
Springer-Verlag London
Year
2005
Tongue
English
Leaves
259
Series
Advances in Pattern Recognition
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


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:
โ€ข higher packing density,
โ€ข uniform connectivity of points (pixels) in the lattice,
โ€ข better angular resolution by virtue of having more nearest neighbours, and
โ€ข 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 bookโ€™s fresh approach to the subject offers insight and workable know-how to both researchers and postgraduates.

โœฆ Table of Contents


Introduction....Pages 1-4
Current approaches to vision....Pages 5-25
The Proposed HIP Framework....Pages 27-69
Image processing within the HIP framework....Pages 71-103
Applications of the HIP framework....Pages 105-126
Practical aspects of hexagonal image processing....Pages 127-149
Processing images on square and hexagonal grids - a comparison....Pages 151-196
Conclusion....Pages 197-199

โœฆ Subjects


Image Processing and Computer Vision; Computer Imaging, Vision, Pattern Recognition and Graphics; Media Design


๐Ÿ“œ SIMILAR VOLUMES


Hexagonal Image Processing. A Practical
โœ Lee Middleton, Jayanthi Sivaswamy ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Springer ๐ŸŒ English

Hexagonal Image Processing develops and presents a novel framework for hexagonal image processing by taking cues from human visual system and tiling theory. This frame work is called the HIP framework and provides a solution for conversion between square sampled images and hexagonally sampled images

Hexagonal Image Processing: A Practical
โœ Lee Middleton, Jayanthi Sivaswamy, ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Springer ๐ŸŒ English

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

Image Processing with Python: A practica
โœ Irshad Ahmad Ansari (editor), Varun Bajaj (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2024 ๐Ÿ› Institute of Physics Publishing ๐ŸŒ English

<p><span>This book explores the domain of image processing using Python, with the help of working examples and accompanying code. The example-led implementation of Python codes is provided in this book to train budding researchers, coders, and hobbyists in the field of machine intelligence and image

Image Processing with Python: A practica
โœ Irshad Ahmad Ansari (editor), Varun Bajaj (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2024 ๐Ÿ› Institute of Physics Publishing ๐ŸŒ English

<p><span>This book explores the domain of image processing using Python, with the help of working examples and accompanying code. The example-led implementation of Python codes is provided in this book to train budding researchers, coders, and hobbyists in the field of machine intelligence and image

Image Processing with Python: A practica
โœ Irshad Ahmad Ansari (editor), Varun Bajaj (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2024 ๐Ÿ› Institute of Physics Publishing ๐ŸŒ English

<p><span>This book explores the domain of image processing using Python, with the help of working examples and accompanying code. The example-led implementation of Python codes is provided in this book to train budding researchers, coders, and hobbyists in the field of machine intelligence and image