A Pseudo-Hilbert scan for arbitrarily-sized cuboid region

Jian Zhang*, Sei Ichiro Kamata

*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

The 3-dimensional (3-D) Hilbert scan is a one-to-one mapping between 3-D data and 1-D data along the 3-D Hilbert curve. It has been applied widely in moving-image processing, such as image compression, pattern recognition, clustering an image, etc. Now, although there have been some 3-D Hilbert scanning algorithms, they usually have strict limitation on the scanned region. This make Hilbert scan very difficult to be applied in practice. So an effective scanning algorithm for arbitrarily-sized cuboid region is significative to improve the correlative digital image processing technology. In this paper, we proposed a novel Pseudo-Hilbert scanning algorithm based on the look-up tables method for arbitrarilysized cuboid region. Although the proposed algorithm is designed for 3-D space scanning, it can be also applied in an arbitrary-sized rectangle. The algorithm don't only remove the strict constrains but also reserve the good property of the Hubert curve that scanning curve preserves point neighborhoods as much as possible. The good performance of the algorithm is demonstrated by the simulation results.

本文言語English
ホスト出版物のタイトルSixth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2006
出版社Institute of Electrical and Electronics Engineers Inc.
ページ920-925
ページ数6
ISBN(印刷版)0780397541, 9780780397545
DOI
出版ステータスPublished - 2006
イベント6th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2006 - Vancouver, BC, Canada
継続期間: 2006 8月 272006 8月 30

出版物シリーズ

名前Sixth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT

Conference

Conference6th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2006
国/地域Canada
CityVancouver, BC
Period06/8/2706/8/30

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 信号処理
  • ソフトウェア

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