標題: GRAY-SCALE HOUGH TRANSFORM FOR THICK LINE DETECTION IN GRAY-SCALE IMAGES
作者: LOT, RC
TSAI, WH
資訊工程學系
Department of Computer Science
關鍵字: GRAY-SCALE HOUGH TRANSFORM;GRAY-SCALE IMAGE;THICK LINES;BAND;THRESHOLDING;EDGE DETECTION;COMPLEXITY;RADON TRANSFORM
公開日期: 1-五月-1995
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.
URI: http://hdl.handle.net/11536/1968
ISSN: 0031-3203
期刊: PATTERN RECOGNITION
Volume: 28
Issue: 5
起始頁: 647
結束頁: 661
顯示於類別:期刊論文


文件中的檔案:

  1. A1995QX80500003.pdf