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  • Extracting lines in noisy image using directional information

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    85951_1.pdf (318.3Kb)
    Author(s)
    Zhou, Jun
    Bischof, Walter F
    Sanchez-Azofeifa, Arturo
    Griffith University Author(s)
    Zhou, Jun
    Year published
    2006
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    Abstract
    Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem, we introduce a method for detecting lines in noise based on directional information. Orientations are generated by Gabor filters to guide an anisotropic Gaussian filtering process, and they are also used in the peak selection in Hough transform. The experimental results show the effectiveness of this methodDetection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem, we introduce a method for detecting lines in noise based on directional information. Orientations are generated by Gabor filters to guide an anisotropic Gaussian filtering process, and they are also used in the peak selection in Hough transform. The experimental results show the effectiveness of this method
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    Conference Title
    18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS
    Volume
    2
    DOI
    https://doi.org/10.1109/ICPR.2006.520
    Copyright Statement
    © 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Pattern Recognition and Data Mining
    Image Processing
    Publication URI
    http://hdl.handle.net/10072/51675
    Collection
    • Conference outputs

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