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Hough transform and signal detection theory performance for images with additive noise

Publication ,  Journal Article
Hunt, DJ; Nolte, LW; Reibman, AR; Howard Ruedger, W
Published in: Computer Vision, Graphics and Image Processing
January 1, 1990

The line detection performance and sensitivity to the noise distribution of the Hough transform and two signal detection theory processors are evaluated quantitatively (using receiver operating characteristics (ROC)) and compared for images corrupted by each of several types of additive noise. The types of noise distributions considered are Gaussian, uniform, and Laplacian. The two types of signal detection theory processors considered are the optimal detector for additive, Gaussian noise and the optimal detector for additive, Laplacian noise. The performances for these noise distributions are interesting to compare because they vary widely in the thickness of the tails of their probability density functions. The Gaussian processor and the Hough transform are found to be much less sensitive to noise type than the Laplacian processor. © 1990.

Duke Scholars

Published In

Computer Vision, Graphics and Image Processing

DOI

ISSN

0734-189X

Publication Date

January 1, 1990

Volume

52

Issue

3

Start / End Page

386 / 401
 

Citation

APA
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Hunt, D. J., Nolte, L. W., Reibman, A. R., & Howard Ruedger, W. (1990). Hough transform and signal detection theory performance for images with additive noise. Computer Vision, Graphics and Image Processing, 52(3), 386–401. https://doi.org/10.1016/0734-189X(90)90082-7
Hunt, D. J., L. W. Nolte, A. R. Reibman, and W. Howard Ruedger. “Hough transform and signal detection theory performance for images with additive noise.” Computer Vision, Graphics and Image Processing 52, no. 3 (January 1, 1990): 386–401. https://doi.org/10.1016/0734-189X(90)90082-7.
Hunt DJ, Nolte LW, Reibman AR, Howard Ruedger W. Hough transform and signal detection theory performance for images with additive noise. Computer Vision, Graphics and Image Processing. 1990 Jan 1;52(3):386–401.
Hunt, D. J., et al. “Hough transform and signal detection theory performance for images with additive noise.” Computer Vision, Graphics and Image Processing, vol. 52, no. 3, Jan. 1990, pp. 386–401. Scopus, doi:10.1016/0734-189X(90)90082-7.
Hunt DJ, Nolte LW, Reibman AR, Howard Ruedger W. Hough transform and signal detection theory performance for images with additive noise. Computer Vision, Graphics and Image Processing. 1990 Jan 1;52(3):386–401.

Published In

Computer Vision, Graphics and Image Processing

DOI

ISSN

0734-189X

Publication Date

January 1, 1990

Volume

52

Issue

3

Start / End Page

386 / 401