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A mosaicing algorithm for series of microscope images based on minimum cost spanning tree

  • Yubo Xie
  • , Ping Yang
  • , Shaoguang Li
  • , Yongxi Gong*
  • *Corresponding author for this work
  • Wuhan University
  • Real Estate Surveying and Mapping Office of Guangzhou
  • Ministry of Natural Resources of the People's Republic of China
  • Peking University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Available methods for a series of microscope images mosaicing can not meet the requirement of large scale microscope images mosaicing with high quality requirements. A mosaicing algorithm for a series of microscope images based on minimum cost spanning tree of mosaicing graph is proposed and implemented in 3 steps: a) the local registrations based on blocking-spatial clustering, b) the evaluation of the results of images registrations to assign weights of edges of the mosaicing graph, and c) the global images mosaicing approach based on minimum cost spanning tree to calculate optimal global position for every image in order to construct panorama in high quality. The algorithm can be implemented easily and features high accuracy in the experiments.

Original languageEnglish
Title of host publicationICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, Proceedings
Pages339-343
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
EventICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing - Shanghai, China
Duration: 7 Jul 20089 Jul 2008

Publication series

NameICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, Proceedings

Conference

ConferenceICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing
Country/TerritoryChina
CityShanghai
Period7/07/089/07/08

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