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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/4371

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4371

    Title: Gray-scale Hough transform for thick line detection in gray-scale images
    Authors: R. C. Lo;W. H. Tsai
    Contributors: Department of Information Communication
    Keywords: Gray-scale Hough transform;Gray-scale image;Thick lines;Band;Thresholding;Edge detection;Complexity;Radon transform
    Date: 1995-05
    Issue Date: 2009-11-25 10:31:05 (UTC+8)
    Publisher: Asia University
    Abstract: A new extension of the Hough transform, called gray-scale Hough transform (GSHT), is proposed for detecting thick lines (called bands) in a gray-scale image. The use of the conventional Hough transform (CHT) usually requires the preprocessing steps of thresholding and edge detection (or thinning) before the transform can be performed on a gray-scale image containing bands. This causes loss of useful gray and position relationship existing among the pixels of a band, and requires certain postprocessing steps to recover the band in the original image. The proposed GSHT with a gray-scale image as the direct input removes this shortcoming, requiring neither preprocessing nor postprocessing step in detecting bands in a gray-scale image. Experimental results, showing the feasibility of the proposed approach, are also included.
    Relation: Pattern Recognition 28 (5): 647-662
    Appears in Collections:[資訊傳播學系] 期刊論文

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