Comparison of image conversions between square structure and hexagonal structure

Xiangjian He, Jianmin Li, Tom Hintz

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings
PublisherSpringer Verlag
Pages262-273
Number of pages12
ISBN (Print)9783540746065
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007 - Delft, Netherlands
Duration: 28 Aug 200731 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4678 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007
Country/TerritoryNetherlands
CityDelft
Period28/08/0731/08/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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