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  • 标题:Colour map object separation
  • 本地全文:下载
  • 作者:Amândio Cordeiro ; Pedro Pina
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2006
  • 卷号:XXXVI Part 7
  • 出版社:Copernicus Publications
  • 摘要:This paper addresses the issue of colour objects separation from map images obtained by current commercial scanners, in the RGB system. The proposed methodology is determined by some tested principles, as follows: 1. No Tonal Change. Until its isolation, the colour-object maintains its former tonalities. 2. Unique transform. The pixels that do not belong to the objects under consideration are "sent" to the background (value 255, in the 3 components). 3. Colour Spatial Correlation. The decision of considering a non-object pixel depends only on its "cut value" in a component. A cut value divides the RGB colour cube in two separate volumes or Sections. 4. Spatial Integration. Different Sections combine to form Regions, as intersections of Sections, for the noise-object and Co-Regions, as unions of Sections, for the isolation of the colour-objects
  • 关键词:RGB System; Colour Segmentation; Image Analysis; Map Objects Recognition; Mathematical Morphology
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