Understanding the Hough transform: Hough cell support and its utilization

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Understanding the Hough transform: Hough cell support and its utilization. / Hansen, Klaus; Andersen, Jens Damgaard.

In: Image and Vision Computing, Vol. 15, No. 3, 1997, p. 205-218.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Hansen, K & Andersen, JD 1997, 'Understanding the Hough transform: Hough cell support and its utilization', Image and Vision Computing, vol. 15, no. 3, pp. 205-218. https://doi.org/10.1016/S0262-8856(96)01128-6

APA

Hansen, K., & Andersen, J. D. (1997). Understanding the Hough transform: Hough cell support and its utilization. Image and Vision Computing, 15(3), 205-218. https://doi.org/10.1016/S0262-8856(96)01128-6

Vancouver

Hansen K, Andersen JD. Understanding the Hough transform: Hough cell support and its utilization. Image and Vision Computing. 1997;15(3):205-218. https://doi.org/10.1016/S0262-8856(96)01128-6

Author

Hansen, Klaus ; Andersen, Jens Damgaard. / Understanding the Hough transform: Hough cell support and its utilization. In: Image and Vision Computing. 1997 ; Vol. 15, No. 3. pp. 205-218.

Bibtex

@article{1ca80c8074cb11dbbee902004c4f4f50,
title = "Understanding the Hough transform: Hough cell support and its utilization",
abstract = "The Standard Hough Transform (SHT) is used to find lines, circles and other image features in edge maps containing edge points. Edge points which potentially can {\textquoteleft}vote' for a given line (called its {\textquoteleft}line support') are highly dependent of line position and orientation due to the boundedness of images. If accumulator array peaks are used to find lines then peripherally located lines are missed. Uniform feature detection probability in all parts of the image requires normalisation of the accumulator array by the support. The paper describes some further applications of the concept of support when finding lines (e.g. determining dominant directions), and gives some guidelines on the choice of the coordinate system origin.",
keywords = "Faculty of Science, Hough transform; Curve detection; Hough space cell support; Bias; Parameter quantisation",
author = "Klaus Hansen and Andersen, {Jens Damgaard}",
year = "1997",
doi = "10.1016/S0262-8856(96)01128-6",
language = "English",
volume = "15",
pages = "205--218",
journal = "Image and Vision Computing",
issn = "0262-8856",
publisher = "Elsevier",
number = "3",

}

RIS

TY - JOUR

T1 - Understanding the Hough transform: Hough cell support and its utilization

AU - Hansen, Klaus

AU - Andersen, Jens Damgaard

PY - 1997

Y1 - 1997

N2 - The Standard Hough Transform (SHT) is used to find lines, circles and other image features in edge maps containing edge points. Edge points which potentially can ‘vote' for a given line (called its ‘line support') are highly dependent of line position and orientation due to the boundedness of images. If accumulator array peaks are used to find lines then peripherally located lines are missed. Uniform feature detection probability in all parts of the image requires normalisation of the accumulator array by the support. The paper describes some further applications of the concept of support when finding lines (e.g. determining dominant directions), and gives some guidelines on the choice of the coordinate system origin.

AB - The Standard Hough Transform (SHT) is used to find lines, circles and other image features in edge maps containing edge points. Edge points which potentially can ‘vote' for a given line (called its ‘line support') are highly dependent of line position and orientation due to the boundedness of images. If accumulator array peaks are used to find lines then peripherally located lines are missed. Uniform feature detection probability in all parts of the image requires normalisation of the accumulator array by the support. The paper describes some further applications of the concept of support when finding lines (e.g. determining dominant directions), and gives some guidelines on the choice of the coordinate system origin.

KW - Faculty of Science

KW - Hough transform; Curve detection; Hough space cell support; Bias; Parameter quantisation

U2 - 10.1016/S0262-8856(96)01128-6

DO - 10.1016/S0262-8856(96)01128-6

M3 - Journal article

VL - 15

SP - 205

EP - 218

JO - Image and Vision Computing

JF - Image and Vision Computing

SN - 0262-8856

IS - 3

ER -

ID: 227706