首页    期刊浏览 2024年09月12日 星期四
登录注册

文章基本信息

  • 标题:EXTRAÇÃO AUTOMATICA DE SEGMENTOS LINEARES DE RODOVIAS EM IMAGENS DE RESOLUÇÕES VARIADAS
  • 本地全文:下载
  • 作者:REGINA ISHIBASHI ; ALUIR DAL POZ
  • 期刊名称:Boletim de Ciências Geodésicas
  • 印刷版ISSN:1982-2170
  • 出版年度:2009
  • 卷号:15
  • 期号:3
  • 语种:Portuguese
  • 出版社:Universidade Federal do Paraná-UFPR
  • 摘要:In this paper a methodology for automatic extraction of road segments from images with different resolutions (low, middle and high resolution) is presented. It is based on a generalized concept of lines in digital images, by which lines can be described by the centerlines of two parallel edges. In the specific case of low resolution images, where roads are manifested as entities of 1 or 2 pixels wide, the proposed methodology combines an automatic image enhancement operation with the following strategies: automatic selection of the hysteresis thresholds and the Gaussian scale factor; line length thresholding; and polygonization. In medium and high resolution images roads manifest as narrow and elongated ribbons and, consequently, the extraction goal becomes the road centerlines. In this case, it is not necessary to apply the previous enhancement step used to enhance roads in low resolution images. The results obtained in the experimental evaluation satisfied all criteria established for the efficient extraction of road segments from different resolution images, providing satisfactory results in a completely automatic way.
  • 其他摘要:In this paper a methodology for automatic extraction of road segments from images with different resolutions (low, middle and high resolution) is presented. It is based on a generalized concept of lines in digital images, by which lines can be described by the centerlines of two parallel edges. In the specific case of low resolution images, where roads are manifested as entities of 1 or 2 pixels wide, the proposed methodology combines an automatic image enhancement operation with the following strategies: automatic selection of the hysteresis thresholds and the Gaussian scale factor; line length thresholding; and polygonization. In medium and high resolution images roads manifest as narrow and elongated ribbons and, consequently, the extraction goal becomes the road centerlines. In this case, it is not necessary to apply the previous enhancement step used to enhance roads in lowresolution images. The results obtained in the experimental evaluation satisfied all criteria established for the efficient extraction of road segments from different resolution images, providing satisfactory results in a completely automatic way.
  • 关键词:Automação;Fotogrametria;Extração de Feições;Bordas Paralelas;Feições Rodoviárias.
国家哲学社会科学文献中心版权所有