Gray-scale hough transform for thick line detection in gray-scale images

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摘要

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.

论文关键词:Gray-scale Hough transform,Gray-scale image,Thick lines,Band,Thresholding,Edge detection,Complexity,Radon transform

论文评审过程:Received 10 January 1994, Revised 9 September 1994, Accepted 23 September 1994, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/0031-3203(94)00127-8