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  • 标题:Watershed: An Image Segmentation Approach
  • 本地全文:下载
  • 作者:Arindrajit Seal ; Arunava Das ; Prasad Sen
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:3
  • 页码:2295-2297
  • 出版社:TechScience Publications
  • 摘要:A grey-level image may be visualized as a topographic relief, where the grey-level of a pixel is thought as its height in the relief. Supposing that a drop of water falls on a topographic relief, it flows along a path to finally reach a local minimum. The watershed of a relief corresponds to the limits of the adjacent catchment areas of the drops of water. In image processing, different types of watershed lines can be computed. In graphs - watershed lines can be defined on the nodes, on the edges, or hybrid lines on both nodes and edges. Watersheds can also be defined in the continuous domain. There are also many different algorithms to compute watersheds. Watershed algorithm is used in image processing primarily for segmentation purposes. Watersheds use many of the concepts of edge-detection, thresholding & region growing and often produce stable segmentation results.
  • 关键词:Image-Segmentation; Watershed; Distance;Transform
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