Comparison of image conversions between square structure and hexagonal structure

Authors:
Xiangjian He;Jianmin Li;Tom Hintz
Affiliations:
Computer Vision Research Group, University of Technology, Sydney, Australia;School of Computer and Mathematics, Fuzhou University, Fujian, China;Computer Vision Research Group, University of Technology, Sydney, Australia
Venue:
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Year:
2007

Citing 3
Cited 0

Robot vision

Robot vision
An algorithmic comparison between square- and hexagonal-based grids

CVGIP: Graphical Models and Image Processing
Fractal image compression on a pseudo spiral architecture

ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38

Quantified Score

Hi-index	0.00

Visualization

Abstract

Hexagonal image structure is a relatively new and powerful approach to intelligent vision system. The geometrical arrangement of pixels in this structure can be described as a collection of hexagonal pixels. However, all the existing hardware for capturing image and for displaying image are produced based on rectangular architecture. Therefore, it becomes important to find a proper software approach to mimic hexagonal structure so that images represented on the traditional square structure can be smoothly converted from or to the images on hexagonal structure. For accurate image processing, it is critical to best maintain the image resolution after image conversion. In this paper, we present various algorithms for image conversion between the two image structures. The performance of these algorithms will be compared though experimental results.