<p><p>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.<br>Digital image processing is currently d
Hexagonal Image Processing: A Practical Approach (Advances in Pattern Recognition)
β Scribed by Lee Middleton, Jayanthi Sivaswamy,
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Leaves
- 259
- Edition
- 1st Edition.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ 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 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.
π SIMILAR VOLUMES
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
<p>Parts of this text were used for several years by students in a one~term underΒ graduate course in computer science. The students had to prepare projects in small groups (2~4 students).1 This book emphasizes practical experience with image processing. It offers a comprehensive study of β’ image pr
This book delivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science, medical imaging, or wherever the study of identification and classification of objects by electronics-driven image processing and pattern recognition is relevant. Object a
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing