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  • 标题:速度を増すために入力画像から直接直線を抽出するアルゴリズム
  • 本地全文:下载
  • 作者:John W. Gates ; Miki Haseyama ; Hideo Kitajima
  • 期刊名称:映像情報メディア学会誌
  • 印刷版ISSN:1342-6907
  • 电子版ISSN:1881-6908
  • 出版年度:2005
  • 卷号:59
  • 期号:2
  • 页码:287-295
  • DOI:10.3169/itej.59.287
  • 出版社:The Institute of Image Information and Television Engineers
  • 摘要:This paper presents a fast and accurate line extraction algorithm. Conventional line extraction algorithms first extract the edge pixels and then connect these edge pixels into lines. In contrast the proposed algorithm extracts the lines directly from the input image by tracing the perimeter of an intensity region and then uses simple linear regression to compute the equations of the lines. This proposed method allows the algorithm to use the intensity information in the image to correlate the edge pixels, thus simplifying the computation of the lines and increasing the robustness in the presence of noise. Experiments were performed on a variety of synthetic and natural images and demonstrated that the algorithm can extract lines reliably, while realizing a large improvement in speed over the conventional algorithms.
  • 关键词:Line extraction;Perimeter tracing;Edge detection;Sobel operator;Pre-processing
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