A data structure for triangular dissection of multi-resolution images

Taiyou Kikuchi*, Shinji Koka, Koichi Anada, Youzou Miyadera, Takeo Yaku

*この研究の対応する著者

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

In this work, the heterogeneous rectangular dissections that represent multi-resolution images of raster data are considered. Specifically, heterogeneous rectangular dissections are changed to triangular dissections in order to provide more effective feature extraction. We propose a method of generating triangular dissections that maintains 'octgrid' properties and have developed a list structure suitable for extracting image features (ridges, valleys, etc.) from terrain maps. We propose a detailed list structure called 'H12Code' and present examples of feature extraction using H12Code lists.

本文言語English
ホスト出版物のタイトル2014 IEEE/ACIS 15th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2014 - Proceedings
編集者Satoshi Takahashi, Ju Yeon Jo
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781479956043
DOI
出版ステータスPublished - 2014
イベント15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2014 - Las Vegas, United States
継続期間: 2014 6 302014 7 2

出版物シリーズ

名前2014 IEEE/ACIS 15th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2014 - Proceedings

Conference

Conference15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2014
国/地域United States
CityLas Vegas
Period14/6/3014/7/2

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • コンピュータ ネットワークおよび通信
  • 人工知能

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