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-May-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 |
Appears in Collections: | Articles |
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