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

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题名:	Gray-scale Hough transform for thick line detection in gray-scale images
作者:	R. C. Lo;W. H. Tsai
贡献者:	Department of Information Communication
关键词:	Gray-scale Hough transform;Gray-scale image;Thick lines;Band;Thresholding;Edge detection;Complexity;Radon transform
日期:	1995-05
上传时间:	2009-11-25 02:31:05 (UTC+0)
出版者:	Asia University
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.
關聯:	Pattern Recognition 28 (5): 647-662
显示于类别:	[資訊傳播學系] 期刊論文

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