A Geometric Edge Detection Method from Cross-sectional Shapes of Cloth-like Object

Ibuki Yamamoto, Takashi Yoshimi, Motoki Hirayama

研究成果: Conference contribution

抜粋

This study aims to propose methods that detect edge of the cloth by using a displacement laser sensor for the automatic sawing by a robot arm. For the edge detection, three filters which extract candidates are used, then the most suitable point is selected by the proposed condition. We tested the method at the required feeding speeds under moving the cloth with some feeding speeds. Then, we confirmed that the proposed method can detect whole edge in all cases.

元の言語English
ホスト出版物のタイトルICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings
出版者IEEE Computer Society
ページ292-295
ページ数4
ISBN(電子版)9788993215182
DOI
出版物ステータスPublished - 2019 10
イベント19th International Conference on Control, Automation and Systems, ICCAS 2019 - Jeju, Korea, Republic of
継続期間: 2019 10 152019 10 18

出版物シリーズ

名前International Conference on Control, Automation and Systems
2019-October
ISSN(印刷物)1598-7833

Conference

Conference19th International Conference on Control, Automation and Systems, ICCAS 2019
Korea, Republic of
Jeju
期間19/10/1519/10/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • これを引用

    Yamamoto, I., Yoshimi, T., & Hirayama, M. (2019). A Geometric Edge Detection Method from Cross-sectional Shapes of Cloth-like Object. : ICCAS 2019 - 2019 19th International Conference on Control, Automation and Systems, Proceedings (pp. 292-295). [8971697] (International Conference on Control, Automation and Systems; 巻数 2019-October). IEEE Computer Society. https://doi.org/10.23919/ICCAS47443.2019.8971697