An inverse voting algorithm for Hough Transform

Dingding Chang, S. Hashimoto

    研究成果: Article

    12 引用 (Scopus)

    抄録

    In this paper, we propose a new method for curve detection based on the inverse Hough Transform. The key idea of this method is to make the voting process on the image space instead of that on the parameter space in the conventional method, then convert the local peak detection problem in the parameter space into a parameter optimization problem. This leads to substantial savings, not only in storage requirements but also in the amount of calculation required. The experimental results and qualitative analysis showed that in comparison with the conventional Hough Transform methods, the new method has advantages of high speed, small storage arbitrary parameter range and high parameter resolution.

    元の言語English
    記事番号413308
    ページ(範囲)223-227
    ページ数5
    ジャーナルProceedings - International Conference on Image Processing, ICIP
    1
    DOI
    出版物ステータスPublished - 1994

    Fingerprint

    Hough transforms
    Inverse transforms

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

    これを引用

    An inverse voting algorithm for Hough Transform. / Chang, Dingding; Hashimoto, S.

    :: Proceedings - International Conference on Image Processing, ICIP, 巻 1, 413308, 1994, p. 223-227.

    研究成果: Article

    @article{905ecd9f019d4dcba82de4940e888160,
    title = "An inverse voting algorithm for Hough Transform",
    abstract = "In this paper, we propose a new method for curve detection based on the inverse Hough Transform. The key idea of this method is to make the voting process on the image space instead of that on the parameter space in the conventional method, then convert the local peak detection problem in the parameter space into a parameter optimization problem. This leads to substantial savings, not only in storage requirements but also in the amount of calculation required. The experimental results and qualitative analysis showed that in comparison with the conventional Hough Transform methods, the new method has advantages of high speed, small storage arbitrary parameter range and high parameter resolution.",
    author = "Dingding Chang and S. Hashimoto",
    year = "1994",
    doi = "10.1109/ICIP.1994.413308",
    language = "English",
    volume = "1",
    pages = "223--227",
    journal = "Proceedings - International Conference on Image Processing, ICIP",
    issn = "1522-4880",

    }

    TY - JOUR

    T1 - An inverse voting algorithm for Hough Transform

    AU - Chang, Dingding

    AU - Hashimoto, S.

    PY - 1994

    Y1 - 1994

    N2 - In this paper, we propose a new method for curve detection based on the inverse Hough Transform. The key idea of this method is to make the voting process on the image space instead of that on the parameter space in the conventional method, then convert the local peak detection problem in the parameter space into a parameter optimization problem. This leads to substantial savings, not only in storage requirements but also in the amount of calculation required. The experimental results and qualitative analysis showed that in comparison with the conventional Hough Transform methods, the new method has advantages of high speed, small storage arbitrary parameter range and high parameter resolution.

    AB - In this paper, we propose a new method for curve detection based on the inverse Hough Transform. The key idea of this method is to make the voting process on the image space instead of that on the parameter space in the conventional method, then convert the local peak detection problem in the parameter space into a parameter optimization problem. This leads to substantial savings, not only in storage requirements but also in the amount of calculation required. The experimental results and qualitative analysis showed that in comparison with the conventional Hough Transform methods, the new method has advantages of high speed, small storage arbitrary parameter range and high parameter resolution.

    UR - http://www.scopus.com/inward/record.url?scp=84997142590&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84997142590&partnerID=8YFLogxK

    U2 - 10.1109/ICIP.1994.413308

    DO - 10.1109/ICIP.1994.413308

    M3 - Article

    AN - SCOPUS:84997142590

    VL - 1

    SP - 223

    EP - 227

    JO - Proceedings - International Conference on Image Processing, ICIP

    JF - Proceedings - International Conference on Image Processing, ICIP

    SN - 1522-4880

    M1 - 413308

    ER -