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  • 标题:Connected Component Analysis and Change Detection for Images
  • 本地全文:下载
  • 作者:Prasad S.Halgaonkar
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2011
  • 卷号:1
  • 期号:2-2
  • 出版社:Seventh Sense Research Group
  • 摘要:Detection of the region of change in images of a particular scene or object taken at different time gap is of widespread interest due to a large number of applications in various disciplines. Some of the important applications of change detection include Video surveillance, medical diagnosis and treatment, civil infrastruct ure, underwater sensing etc. In this paper, describe d is a two scan labeling algorithm whereby, unlike the classical approach, equivalences are processed during the first pass in order to determine the correct state of equivalence classes at each time of t he scan. This is obtained by merging classes as soon as a new equivalence is found, the data structure used to support the merging being a simple 1D array. This approach allows the check for a conflict to be carried out on class identifiers rather than on labels, as instead it is mandatory with the classical algorithm. It has been show that this significantly improves the efficiency of the labeling process
  • 关键词:single sign - on ; authenticatio n; security; SS O; plug in
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